Research on tokenized supply chain via blockchain/Исследование токенизированных цепочек поставок посредством блокчейна тема диссертации и автореферата по ВАК РФ 00.00.00, кандидат наук Мадвал Яш

  • Мадвал Яш
  • кандидат науккандидат наук
  • 2024, АНОО ВО «Сколковский институт науки и технологий»
  • Специальность ВАК РФ00.00.00
  • Количество страниц 144
Мадвал Яш. Research on tokenized supply chain via blockchain/Исследование токенизированных цепочек поставок посредством блокчейна: дис. кандидат наук: 00.00.00 - Другие cпециальности. АНОО ВО «Сколковский институт науки и технологий». 2024. 144 с.

Оглавление диссертации кандидат наук Мадвал Яш

Table of contents

Page

Introduction

Chapter 1. Background blockchain bases supply chain

1.1 Introduction

1.2 Bitcoin overview

1.3 Blockchain architecture

1.4 Types of blockchain

1.5 Blockchain Consensus

1.6 Challenges in smart supply chain management

1.7 Blockchain capability

1.8 Adoption of blockchain and challenges

1.9 Blockchain in Supply Chain

1.10 Conclusion

Chapter 2. Blockchain solution for Tokenized SCM

2.1 Introduction

2.2 Asset Volume Tokenization

2.2.1 Postage Stamps

2.2.2 Performance Tests

2.2.3 Blockchain verifiable certificate

2.3 Token Conversion

2.3.1 Case of Aircraft's Supply Chain

2.3.2 Case of Aerosol Manufacturer

2.3.3 Case of Preventive Measures for Plastic Pipes

2.4 Conclusion

Chapter 3. Data Processing for Supply Chain Management

3.1 Secure Data Transfer

3.1.1 Security

3.1.2 Results

3.2 Supply chain-driven smart contracts

3.2.1 Research methodology

3.2.2 Delivery process and PoD workflow

3.2.3 System Architecture

3.2.4 Ponti's DLT's Transaction Costs Estimates

3.3 Conclusion

Chapter 4. Blockchain extension for Supply Chain

4.1 Auditability

4.1.1 Blockchain Powered Incorruptible Auditing

4.1.2 Blockchain Extension for PostgreSQL Data Storage

4.2 Availability

4.3 Usability

4.3.1 Pipe Label Parameters Choice

4.3.2 Conclusion

4.4 Conclusion

Conclusion

List of abbreviations and symbols

Dictionary of Terms

Bibliography

List of Figures

List of Tables

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Введение диссертации (часть автореферата) на тему «Research on tokenized supply chain via blockchain/Исследование токенизированных цепочек поставок посредством блокчейна»

Introduction

The primary objective of this dissertation is to determine how the concept of blockchain technology can be implied in supply chain management (SCM). During the research phase, I emphasized how the intermediaries' agreement can provide the transaction details among two segments in an supply chain (SC). Segments of SC lack information flow among all the components. This lack of information sharing leads to a communication gap, and thus, due to this loophole, many corrupt practices can occur, like money laundering, product replacements, etc. This information transformation among the SC components can exist between two elements or across all. I described numerous possibilities, such as a decentralized application (DApp), a possible application to track and trace products, which the following segment of the SC will procure. This procurement process will be recorded in the blockchain chronologically. Although a solution exists for tracking and tracing items in SC, I proposed ways in which two or more things can be tokenized and converted to a new product and record a new token generation on the blockchain.

The goal dissertation aims to address key challenges and innovate within the intersection of blockchain technology and supply chain management. The dissertation seeks to develop and implement blockchain protocols to prevent counterfeiting across multi-tier production processes within supply chain projects. Furthermore, it aims to design and deploy robust supply chain protocols with automated dispute resolution mechanisms to enhance transparency and reliability. Additionally, the dissertation endeavors to tackle critical issues in blockchain usage within supply chains, such as improving readability by edge devices, implementing Distributed Denial-of-Service (DDoS) protection mechanisms, and enhancing usability for stakeholders. The dissertation aims to advance supply chain operations' efficiency, security, and trustworthiness through these goals, ultimately contributing to blockchain technology's broader adoption and integration in supply chain management practices.

To achieve this goal, it was necessary to solve the following tasks :

1. Research and design blockchain protocols to prevent counterfeiting in supply chain projects, from manufacturing to final ownership via multi-tier production.

2. Designing and implementing a robust and auditable supply chain protocol with automated dispute resolution mechanisms.

3. Research and design solutions for blockchain usage problems, namely:

(a) Readability by edge devices of blockchain's data on products,

(b) DDoS protection in blockchains without a transaction fee,

(c) Proof of the correctness of response for templated requests in the supply chain and provide solutions.

The scientific novelty of the work is formulated in the form of the main provisions, points to defend:

1. Token-driven workflows for the blockchain-based supply chain are provided. Methods to objectify and tokenize things to transform them into new tokens are described. Furthermore, I designed a token-driven workflow for a blockchain-based supply chain. This workflow allows asset tokenization and token conversion, which provides auditable, transparent, reliable communication Accessibility.

2. Secure Data Transfer or supply-driven smart contracts is considered and designed to solve supply chain problems, namely, secure data transfer in distributed energy grids and long-term proof-of-delivery PoD smart contracts for performance measurement for Ponti. I designed applications for applied projects and developed prototypes, e.g., a blockchain system for Russian postage stamps and plastic pipes for the polyplastic group. I also designed and implemented several scientific prototypes, like tracking manufacturing items for respirators and medical certificates. The information on the blockchain of prototypes is reliable and verifiable.

3. The Research formulated three problem areas in blockchain usage for supply chains and provided a corresponding solution, namely:

(a) Auditability: Introduction of blockchain to a traditional database system. I provided two solutions for introducing a blockchain to conventional methods:

i. Exonum Neo4j graph database

ii. Data storage on the top of a relational database.

(b) Availability: Blockchain without transaction fees are prone to DDoS attacks. We provided fractional reservation-based DDoS

protection in formulating a method to prevent DDoS attacks in a blockchain environment with high throughput. (c) Usability: Interacting with the blockchain via edge devices is difficult. I researched, implemented, and provided ease-of-use interaction via edge devices for the machine-readable label for production that describes the amount of information that can be stored and easily read on curved surfaces with different radii.

The dissertation contributes significant scientific and practical significance to the intersection of blockchain technology and supply chain management. By addressing critical challenges in the field, such as counterfeiting prevention and transparency enhancement, the dissertation provides valuable insights into applying blockchain protocols across multi-tier production processes within supply chains. Moreover, designing and deploying robust supply chain protocols with automated dispute resolution mechanisms offer practical solutions to enhance reliability and transparency in real-world supply chain operations. The dissertation also tackles critical blockchain usage issues, including the readability of edge devices and DDoS protection mechanisms, thereby advancing supply chain practices' efficiency, security, and trustworthiness. Theoretical contributions include the development of novel token-driven workflows and secure data transfer mechanisms, while practical solutions for blockchain usability challenges demonstrate the dissertation's immediate applicability in industrial settings. The comprehensive approach and innovative outcomes underscore its theoretical significance and practical relevance, positioning it as a valuable contribution to academia and industry in blockchain-enabled supply chain management.

The validity and reliability of the results and conclusions are ensured using diverse blockchain and tokenization analyses, along with their alignment with existing literature. Different methods were conducted to ascertain the replicability of tokenization procedures in blockchain systems, thus preventing counterfeiting, improving transparency, and resolving disputes automatically in multi-tier production processes. Addressing practical challenges like readability by edge devices and DDoS protection, the dissertation aims to increase efficiency, security, and trust in supply chain operations. Developing reliable blockchain protocols and solutions contributes to blockchain technology's broader adoption and integration in real-world supply chain practices. Furthermore, the formulations

and insights articulated within the research have been evaluated rigorously at international conferences dedicated to blockchain and applications. Moreover, the validation of the findings is reinforced through their publication in peer-reviewed journals within the blockchain and distributed ledger technology domain, further supporting their credibility and significance within the academic and professional communities.

Approbation of the work and publications

The main results on the dissertation topic are presented in 12 printed publications, all indexed in Scopus or Web of Science, including two papers in Q1 Journals and one in the Rank A conference proceedings. The materials of the works were presented at the following conferences in the form of oral and poster presentations: IEEE International Conference on Blockchain and Cryptocurrency 2019 (Seoul, Korea), 2nd International Conference on Blockchain Technology and Applications (Xian, China), 2020 IEEE International Conference on Blockchain and Cryptocurrency (virtual), 2020 IEEE 21st International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (virtual), 4th International Conference on Computers in Management and Business (virtual), 2021 3rd Blockchain and Internet of Things Conference (virtual), 2021 4th International Conference on Blockchain Technology and Applications (virtual).

The author's contribution includes setting goals, planning experimental activities, and systematically analyzing literature data. The author's programming expertise has significantly advanced blockchain applications in supply chain management. The author has addressed critical challenges such as counterfeiting prevention and transparency enhancement through innovative solutions, designed and developed blockchain-based applications for supply chain protocols, and tackled usability issues, such as readability and DDoS protection; the author's contributions have improved efficiency and security within supply chains. The author participated in preparing and presenting oral and poster presentations at scientific conferences and writing articles for international peer-reviewed scientific journals. The work was done at the Computational and Data Science and Engineering Department of the Skolkovo Institute of Science and Technology.

The structure and volume of the dissertation The dissertation consists of an introduction, four chapters and a conclusion. The

full volume of the dissertation is 144 pages with 38 figures and 6 tables. The list of references contains 170 numbers.

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Заключение диссертации по теме «Другие cпециальности», Мадвал Яш

Conclusion

The main results of the work are as follows.

1. We researched a variety of workflows for different supply chains. We designed and implemented a communication workflow among different entities for tracking and tracing products on a simple supply chain. We describe examples theoretically and by developing a proof-of-concept of blockchain implementation in simple supply chains, like postage stamps, health certificate generation, aircraft manufacturing, etc.

2. We designed and implemented tokenization to monitor the workflow and manufacturing process of the product(s) from provenance to end-users. The tokenization solution to the product's manufacturing is provided for three types of products:

(a) Non-conversion: Tokenization for products that do not involve any conversions. The product does not change its form.

(b) Conversion: Creation of new tokenized products formed by merging two or more products. Such a method requires the creation of a new product, i.e., minting a new token and recording it in the blockchain.

(c) Dismantle: A product can be formed by merging two or more products. But sometimes, there are conditions when a product should be dismantled in two or more items. In terms of blockchain, we refer to minting new tokens as a fraction of the preceding token. Such a method can be for splitting into identical tokens or non-identical tokens.

3. Transferring cryptocurrency is transferring data, and blockchain platforms do not transfer negative data. We implemented methods and provided results of how negative numbers can be transferred over a network of supply chain entities, in our case, an electrical grid that transfers data pairs.

4. While formulating the blockchain's implementation, we proposed an environment for implementing the blockchain-supply chain.

(a) Auditability: We proposed auditable extensions that allow:

i. Combination of blockchain with graph database into a single system, delivering an auditable trail for information stored.

ii. Provable checking transaction content and user balance without a full database lookup using the Merkel Patricia tree data structure.

(b) Availability: A supply chain environment would require high transaction throughput to be recorded to the blockchain. We designed and implemented a formula to prioritize and queue pending transactions for the environment with zero transaction fees to reduce the possibility of a DDoS attack.

(c) Usability: Before reading information from the blockchain, we need to write information on it. The amount of information that should be stored on the blockchain is critical. We provided a research result for the amount of information (in bytes) that a label like QR code and Aztec code can hold vs. the feasibility of reading at various distances on flat and curved surfaces of different radii.

In total, this thesis represents significant progress toward tokenizing the blockchain environment for the supply chain and providing factors for its environment. And some closing phrases.

Список литературы диссертационного исследования кандидат наук Мадвал Яш, 2024 год

Bibliography

1. Jesse Yli-Huumo, Deokyoon Ko, Sujin Choi, Sooyong Park and Kari Smolander. Where Is Current Research on Blockchain Technology?—A Systematic Review // PLOS ONE / ed. by H. Song. — 2016. — Oct. — Vol. 11, no. 10. — e0163477. — DOI: 10.1371/journal.pone.0163477.

2. Nakamoto S. Bitcoin: A Peer-to-Peer Electronic Cash System // www.bitcoin.org. — 2008. — P. 1-9. — URL: https://bitcoin.org/bitcoin.pdf.

3. WeiTek Tsai R. B., Zhu Y, Yu L. A System View of Financial Blockchains //

2016 IEEE Symposium on Service-Oriented System Engineering (SOSE). — IEEE, 03/2016. — DOI: 10.1109/sose.2016.66. — URL: https://doi.org/10. 1109/sose.2016.66.

4. Ermilov D., Panov M, Yanovich Y. Automatic bitcoin address clustering //

2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA). — Cancun, Mexico : IEEE, 12/2017.

5. Tschorsch F., Scheuermann B. Bitcoin and beyond: A technical survey on decentralized digital currencies // IEEE Commun. Surv. Tutor. — 2016. — Vol. 18, no. 3. — P. 2084-2123.

6. Merkle R. C. A Digital Signature Based on a Conventional Encryption Function //. — Springer, Berlin, Heidelberg, 1988. — P. 369-378. — DOI: 10.1007/3-540-48184-2_32.

7. Szydlo M. Merkle Tree Traversal in Log Space and Time // Advances in Cryptology - EUROCRYPT 2004 / ed. by C. Cachin, J. L. Camenisch. — Berlin, Heidelberg : Springer Berlin Heidelberg, 2004. — P. 541-554. — ISBN 978-3-540-24676-3. — DOI: 10.1007/978-3-540-24676-3_32.

8. Cohen B. The BitTorrent Protocol Specification. — 2008. — URL: http:// www.bittorrent.org/beps/bep_0003.html.

9. ShenTu Q., Yu J. A Blind-Mixing Scheme for Bitcoin based on an Elliptic Curve Cryptography Blind Digital Signature Algorithm // arxiv. — 2015. — URL: https://arxiv.org/pdf/1510.05833.pdf.

10. Li X., Scaglione A. Robust decentralized state estimation and tracking for power systems via network gossiping // IEEE Journal on Selected Areas in Communications. — 2013. — Vol. 31, no. 7. — P. 1184-1194.

11. Loon D. P. C. W, Kumar S. Has Bitcoin Achieved the Characteristics of Money? // Encyclopedia of Information Science and Technology, Fourth Edition. — IGI Global, 2018. — P. 2784-2790. — DOI: 10.4018/978-1-5225-2255-3.ch242. — URL: https://doi.org/10.4018/978-1-5225-2255-3.ch242.

12. Haber S., Stornetta W. S. How to time-stamp a digital document // Journal of Cryptology. — 1991. — Jan. — Vol. 3, no. 2. — P. 99-111. — DOI: 10. 1007/BF00196791. — URL: https://link.springer.com/article/10.1007/ BF00196791.

13. Jones P., Eastlake D. US Secure Hash Algorithm 1 (SHA1). — 2001. — Sept.

14. Gueron S., Johnson S., Walker J. SHA-512/256. — 2011.

15. Vithlani H. The Economic Impact of Counterfeiting. — 1998. — URL: https: //www.oecd.org/sti/ind/2090589.pdf.

16. Stevenson M, Busby J. An exploratory analysis of counterfeiting strategies // International Journal of Operations & Production Management. — 2015. — Jan. — Vol. 35, no. 1. — P. 110-144. — DOI: 10.1108/ijopm-04-2012-0174. — URL: https://doi.org/10.1108/ijopm-04-2012-0174.

17. Tapscott D., Tapscott A. Blockchain Revolution: How the Technology Behind Bitcoin Is Changing Money, Business, and the World. — Portfolio, 2016. — ISBN 1101980133.

18. Tian F. An agri-food supply chain traceability system for China based on RFID & blockchain technology // 2016 13th International Conference on Service Systems and Service Management (ICSSSM). — IEEE, 06/2016. — DOI: 10.1109/icsssm.2016.7538424. — URL: https://doi.org/10.1109/icsssm. 2016.7538424.

19. ProjectProvenance. From shore to plate: Tracking tuna on the blockchain — provenance.org. — 2016. — URL: https://www.provenance.org/tracking-tuna-on-the-blockchain%5C#overview. ; [Accessed 27-Apr-2022].

20. Madhwal Y., Panfilov P. Blockchain And Supply Chain Management: Aircrafts' Parts' Business Case // DAAAM Proceedings. — DAAAM International Vienna, 2017. — P. 1051-1056. — DOI: 10.2507/28th.daaam. proceedings.146. — URL: https://doi.org/10.2507/28th.daaam.proceedings. 146.

21. Hyperledger architecture, volume 1. — URL: https : / / www . hyperledger . org/wp-content / uploads / 2017 / 08/HyperLedger_ Arch _WG_ Paper _ 1 _ Consensus.pdf ; [Accessed 27-Apr-2022].

22. Deloitte. Six control principles for financial services. — 2017. — URL: https: / / www2. deloitte. com / content / dam / Deloitte / de / Documents / financial -services/Blockchain-Control-Principles-in-Financial-Services.pdf.

23. Khan I. The virtual future of money laundering — fraud-magazine.com. — 2016. — URL: https : / / www . fraud - magazine . com / article . aspx ? id = 4294993747 ; [Accessed 27-Apr-2022].

24. Bosona T., Gebresenbet G. Food traceability as an integral part of logistics management in food and agricultural supply chain // Food Control. — 2013. — Sept. — Vol. 33, no. 1. — P. 32-48. — DOI: 10.1016/j.foodcont.2013.02.004. — URL: https://doi.org/10.1016/jfoodcont.2013.02.004.

25. Kelepouris T., Pramatari K., Doukidis G. RFID-enabled traceability in the food supply chain // Industrial Management & Data Systems. — 2007. — Mar. — Vol. 107, no. 2. — P. 183-200. — DOI: 10.1108/02635570710723804. — URL: https://doi.org/10.1108/02635570710723804.

26. Moe T. Perspectives on traceability in food manufacture // Trends in Food Science & Technology. — 1998. — Vol. 9, no. 5. — P. 211-214. — DOI: https:// doi.org/10.1016/S0924-2244(98)00037-5. — URL: https://www.sciencedirect. com/science/article/pii/S0924224498000375.

27. Aung M. M, Chang Y. S. Traceability in a food supply chain: Safety and quality perspectives // Food Control. — 2014. — May. — Vol. 39. — P. 172-184. — DOI: 10.1016/j.foodcont.2013.11.007. — URL: https://doi. org/10.1016/j.foodcont.2013.11.007.

28. Thakur M., Donnelly K. A.-M. Modeling traceability information in soybean value chains // Journal of Food Engineering. — 2010. — July. — Vol. 99, no. 1. — P. 98-105. — DOI: 10.1016/j.jfoodeng.2010.02.004. — URL: https: //doi.org/10.1016/j.jfoodeng.2010.02.004.

29. Karlsen K. M., Olsen P., Donnelly K. A.-M. Implementing traceability: practical challenges at a mineral water bottling plant // British Food Journal. — 2010. — Feb. — Vol. 112, no. 2. — P. 187-197. — DOI: 10.1108/ 00070701011018860. — URL: https://doi.org/10.1108/00070701011018860.

30. Senneset G., Foras E., Fremme K. M. Challenges regarding implementation of electronic chain traceability // British Food Journal. — 2007. — Oct. — Vol. 109, no. 10. — P. 805-818. — DOI: 10.1108/00070700710821340. — URL: https://doi.org/10.1108/00070700710821340.

31. Manos B., Manikas I. Traceability in the Greek fresh produce sector: drivers and constraints // British Food Journal. — 2010. — June. — Vol. 112, no. 6. — P. 640-652. — DOI: 10.1108/00070701011052727. — URL: https://doi.org/ 10.1108/00070701011052727.

32. Regattieri A., Gamberi M, Manzini R. Traceability of food products: General framework and experimental evidence // Journal of Food Engineering. — 2007. — July. — Vol. 81, no. 2. — P. 347-356. — DOI: 10.1016/j.jfoodeng. 2006.10.032. — URL: https://doi.org/10.1016/j.jfoodeng.2006.10.032.

33. Pizzuti T, Mirabelli G. The Global Track & Trace System for food: General framework and functioning principles // Journal of Food Engineering. — 2015. — Aug. — Vol. 159. — P. 16-35. — DOI: 10.1016/j .jfoodeng.2015. 03.001. — URL: https://doi.org/10.1016Zj.jfoodeng.2015.03.001.

34. Simchi-Levi D., Simchi-Levi E., Kaminsky P. Designing and Managing the Supply Chain: concepts, strategies, and case studies. — McGraw-Hill/Irwin, 2003. — P. 354. — ISBN 0072492562.

35. Winter J. Counterfeit Stamps Giving Postal Service a Lickin'. — 2010. — URL: https: / / www. foxnews. com / us / counterfeit - stamps - giving - postal -service-a-lickin.

36. Gratton R. Counterfeit stamps cost Canada Post millions a year, expert says // CBC. — 2013. — URL: https://www.cbc.ca/news/canada/montreal/ counterfeit-stamps-cost-canada-post-millions-a-year-expert-says-1.1375040.

37. Kryukov D., Papandina A. Fake for billions // Rbc.ru. — 2016. — URL: https://www.rbc.ru/newspaper/2016/10/05/57f37aae9a794771a6e42728.

38. Bitfury Group, Garzik J. Public versus Private Blockchains. Part 1: Permissioned Blockchains. — 2015. — URL: http://bitfury.com/content/5-white-papers-research/public-vs-private-pt1- 1.pdf.

39. Bitfury Group, Garzik J. Public versus Private Blockchains Part 2: Permissionless Blockchains // bitfury.com. — 2015. — P. 1-20. — URL: http: //bitfury.com/content/5-white-papers-research/public-vs-private-pt2- 1.pdf.

40. Exonum: Byzantine fault tolerant protocol for blockchains / Y. Yanovich [et al.] // bitfury.com. — 2018. — P. 1-36.

41. Ethereum. Github: Ethereum 2.0 Specifications. — 2020. — URL: https:// github.com/ethereum/eth2.0-specs.

42. Ganache: ONE CLICK BLOCKCHAIN. — URL: https://www.trufflesuite. com/ganache.

43. Interventions to combat or prevent drug counterfeiting: a systematic review / F. El-Jardali [et al.] // BMJ Open. — 2015. — Mar. — Vol. 5, no. 3. — e006290.01-e006290.11. — DOI: 10. 1136/bmjopen-2014-006290. — URL: https://bmjopen.bmj.com/lookup/doi/10.1136/bmjopen-2014-006290.

44. Systematic review: resilience enablers to combat counterfeit medicines / F. R. P. d. Lima [et al.] // Supply Chain Management: An International Journal. — 2018. — Mar. — Vol. 12, no. 3. — P. 117-135. — DOI: 10.1108/ SCM-04-2017-0155. — URL: https://www.emerald.com/insight/content/ doi/10.1108/SCM-04-2017-0155/full/html.

45. Di Liddo A. Counterfeiting Models: Mathematical/Economic // Encyclopedia of Law and Economics. — New York, NY : Springer New York, 2019. — P. 418-422. — DOI: 10.1007/978-1-4614-7753-2_705.

46. Buterin V. On Public and Private Blockchains - Ethereum Blog. — 2015. — URL: https : / / blog. ethereum. org / 2015 / 08 / 07 / on - public - and - private -blockchains/.

47. Bitfury Group. On Blockchain Auditability // bitfury.com. — 2016. — P. 1-40. — URL: https://bitfury.com/content/downloads/bitfury-white-pape%20r-on-blockchain-auditability.pdf.

48. Zerocash: Practical Decentralized Anonymous E-Cash from Bitcoin / E. Ben-Sasson [et al.] // Proceedings of the 2014 IEEE Symposium on Security and Privacy. — IEEE, 05/2014. — P. 459-474. — ISBN 978-1-4799-4686-0. — DOI: 10.1109/SP.2014.36.

49. Bulletproofs: Short Proofs for Confidential Transactions and More / B. Bunz [et al.] // 2018 IEEE Symposium on Security and Privacy (SP). 2018-May. — IEEE, 05/2018. — P. 315-334. — ISBN 978-1-5386-4353-2. — DOI: 10.1109/ SP.2018.00020.

50. Building a Private Currency Service Using Exonum / D. Korepanova [et al.] // 2019 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom). — IEEE, 06/2019. — P. 1-3. — ISBN 978-1-7281-3234-1. — DOI: 10.1109/BlackSeaCom. 2019.8812875. — URL: https://ieeexplore.ieee.org/document/8812875/.

51. Abramova S., Schottle P., Böhme R. Mixing Coins of Different Quality: A Game-Theoretic Approach // Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 10323 LNCS. — Springer, Cham, 04/2017. — P. 280-297. — ISBN 9783319702773. — DOI: 10.1007/978-3-319-70278-0_18.

52. Yanovich Y., Mischenko P., Ostrovskiy A. Shared Send Untangling in Bitcoin // bitfury.com. — 2016. — Vol. 2016. — P. 1-25.

53. Ermilov D., Panov M, Yanovich Y. Automatic Bitcoin Address Clustering // 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA). — IEEE, 12/2017. — P. 461-466. — ISBN 978-1-5386-1418-1. — DOI: 10.1109/ICMLA.2017.0-118.

54. Chawathe S. S. Clustering Blockchain Data //. — Springer, Cham, 2019. — P. 43-72. — DOI: 10.1007/978-3-319-97864-2_3.

55. Shirole M, Darisi M, Bhirud S. Cryptocurrency Token: An Overview //. — Springer, Singapore, 2020. — P. 133-140. — DOI: 10.1007/978-981-15-45429 12.

56. Mohanty D., Mohanty D. Supply Chain—Gold Tokenization // R3 Corda for Architects and Developers. — Apress, 2019. — P. 193-198. — DOI: 10.1007/ 978-1-4842-4529-3_11.

57. Abeyratne S. A., Monfared R. P. Blockchain ready manufacturing supply chain using distributed ledger // International Journal of Research in Engineering and Technology. — 2016. — Sept. — Vol. 05, no. 09. — P. 1-10. — DOI: 10.15623/ijret.2016.0509001.

58. Blockchain-Based Solution to Prevent Plastic Pipes Fraud / P. Kostyuk [et al.] // 2020 Seventh International Conference on Software Defined Systems (SDS). — IEEE, 04/2020. — DOI: 10.1109/sds49854.2020.9143879. — URL: https://doi.org/10.1109/sds49854.2020.9143879.

59. Supply-Chain Management System for Plastic Pipes Market Based on Open Blockchain Framework / S. Kudryashov [et al.] // 2020 IEEE 21st International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM). — IEEE, 08/2020. — P. 188-190. — ISBN 978-1-7281-7374-0. — DOI: 10.1109/WoWMoM49955.2020.00044. — URL: https://ieeexplore.ieee.org/document/9217641/.

60. Blockchain-Based Supply Chain for Postage Stamps / Y. Yanovich [et al.] // Informatics. — 2018. — Nov. — Vol. 5, no. 4. — P. 42. — DOI: 10.3390/ informatics5040042.

61. Blockchain-Based Solution to Prevent Postage Stamps Fraud / D. Korepanova [et al.] // 2019 IEEE International Conference on Blockchain and Cryptocurrency (ICBC). — IEEE, 05/2019. — DOI: 10 . 1109 / bloc . 2019 . 8751495. — URL: https://doi.org/10.1109/bloc.2019.8751495.

62. TrustChain: Trust Management in Blockchain and IoT Supported Supply Chains / S. Malik [et al.] // 2019 IEEE International Conference on Blockchain (Blockchain). — IEEE, 07/2019. — P. 184-193. — ISBN 978-1-7281-4693-5. — DOI: 10.1109/Blockchain.2019.00032. — URL: https: //ieeexplore.ieee.org/document/8946187/.

63. Servitization in the Era of Blockchain: the Ice Cream Supply Chain Business Case / E. Balistri [et al.] // 2020 International Conference on Technology and Entrepreneurship (ICTE). — IEEE, 09/2020. — P. 1-8. — ISBN

978-1-7281-4902-8. — DOI: 10.1109/ICTE47868.2020.9215539. — URL: https: //ieeexplore.ieee.org/document/9215539/.

64. Are Distributed Ledger Technologies the panacea for food traceability? / S. Pearson [et al.] // Global Food Security. — 2019. — Mar. — Vol. 20. — P. 145-149. — DOI: 10.1016/j.gfs.2019.02.002. — URL: https://linkinghub. elsevier.com/retrieve/pii/S2211912418301408.

65. Prevention of Medication Loss through a Marketplace and Blockchain / J. G. C. Neto [et al.] // Proceedings of the 2019 2nd International Conference on Blockchain Technology and Applications. — New York, NY, USA : ACM, 12/2019. — P. 124-128. — ISBN 9781450377430. — DOI: 10.1145/3376044. 3376059.

66. Madhwal Y. Implementation of Tokenised Supply Chain Using Blockchain Technology // 2020 IEEE 21st International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM). — IEEE, 08/2020. — P. 66-67. — ISBN 978-1-7281-7374-0. — DOI: 10 . 1109 / WoWMoM49955.2020.00026. — URL: https://ieeexplore.ieee.org/document/ 9217696/.

67. Feng Tian. An agri-food supply chain traceability system for China based on RFID & blockchain technology // 2016 13th International Conference on Service Systems and Service Management (ICSSSM). — IEEE, 06/2016. — P. 1-6. — ISBN 978-1-5090-2842-9. — DOI: 10.1109/ICSSSM.2016.7538424. — URL: http://ieeexplore.ieee.org/document/7538424/.

68. Alzahrani N., Bulusu N. Block-Supply Chain: A New Anti-Counterfeiting Supply Chain Using NFC and Blockchain // Proceedings of the 1st Workshop on Cryptocurrencies and Blockchains for Distributed Systems -CryBlock'18. — New York, New York, USA : ACM Press, 2018. — P. 30-35. — ISBN 9781450358385. — DOI: 10.1145/3211933.3211939.

69. A Distributed Ledger for Supply Chain Physical Distribution Visibility / H. Wu [et al.] // Information. — 2017. — Nov. — Vol. 8, no. 4. — P. 137. — DOI: 10.3390/info8040137. — URL: http://www.mdpi.com/2078-2489/8Z4/137.

70. Boulais O. Exploring Provenance of Tuna using Distributed Ledgers : tech. rep. — 2019. — URL: https://viral.media.mit.edu/pub/tunaprovenance/ release/1.

71. The Impact of Blockchain on Food Supply Chain: The Case of Walmart / B. Tan [et al.] // Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 11373 LNCS. — Springer Verlag, 12/2018. — P. 167-177. — ISBN 9783030057633. — DOI: 10.1007/978-3-030-05764-0_18.

72. IEEE Innovation at Work. Shipping Giants Employ Blockchain Technology to Manage Supply Chain Logistics. — 2018. — URL: https://innovationatwork. ieee. org / shipping- giants- employ- blockchain- technology- to- manage- supply-chain-logistics/.

73. Buterin, Vitalik. Ethereum White Paper: A Next Generation Smart Contract & Decentralized Application Platform // Etherum. — 2014. — January. — P. 1-36. — URL: https://github.com/ethereum/wiki/wiki/White-Paper.

74. Bartoletti M, Pompianu L. An Empirical Analysis of Smart Contracts: Platforms, Applications, and Design Patterns //. 10323 LNCS. — 2017. — P. 494-509. — DOI: 10.1007/978-3-319-70278-0_31.

75. Vogelsteller F, Buterin V. ERC-20 Token Standard. — 2015. — URL: https: //github.com/ethereum/EIPs/blob/master/EIPS/eip-20.md.

76. ERC-721. ERC-721. — 2018. — URL: http://erc721.org/.

77. ERC1155: Multi Token Standard / W. Radomski [et al.]. — URL: https: //github.com/ethereum/EIPs/issues/1155.

78. Token Standard for Heterogeneous Assets Digitization into Commodity / V. Davydov [et al.] // Proceedings of the 2019 2nd International Conference on Blockchain Technology and Applications. — New York, NY, USA : ACM, 12/2019. — P. 43-47. — ISBN 9781450377430. — DOI: 10.1145/3376044. 3376053. — URL: https://dl.acm.org/doi/10.1145/3376044.3376053.

79. Ausiello G., Laura L. Directed hypergraphs: Introduction and fundamental algorithms—A survey // Theoretical Computer Science. — 2017. — Jan. — Vol. 658. — P. 293-306. — DOI: 10.1016/j.tcs.2016.03.016. — URL: https: //linkinghub.elsevier.com/retrieve/pii/S0304397516002097.

80. Madhwal Y., Avdeeva Z. Planning in Aircraft Industry based on prediction of Air Traffic // Procedia Computer Science. — 2017. — Vol. 122. — P. 1047-1054. — DOI: 10 . 1016 / j. procs. 2017. 11.472. — URL: https : / / doi.org/10.1016/j.procs.2017.11.472.

81. Price Waterhouse Coopers. — URL: www.pwc.com/aerospaceanddefence.

82. Buchmeister B., Friscic D., Palcic I. Bullwhip Effect Study in a Constrained Supply Chain // Procedia Engineering. — 2014. — Vol. 69. — P. 63-71. — DOI: 10.1016/j.proeng.2014.02.204. — URL: https://doi.org/10.1016/j. proeng.2014.02.204.

83. MOCENCO D. Supply Chain Features Of The Aerospace Industry Particular Case Airbus And Boeing // Scientific Bulletin - Economic Sciences. — 2015. — Vol. 14, no. 2. — P. 17-25.

84. Raza B. Supply Chain Management for Aviation MRO Industry.

85. Kim H. M., Laskowski M. Towards an Ontology-Driven Blockchain Design for Supply Chain Provenance // SSRN Electronic Journal. — 2016. — Aug. — Vol. 25, no. 1. — P. 18-27. — DOI: 10.2139/ssrn.2828369. — URL: http: //www.ssrn.com/abstract=2828369.

86. Westerkamp M, Victor F., Küpper A. Blockchain-based Supply Chain Traceability: Token Recipes model Manufacturing Processes. — 2018. — DOI: 10.14279/depositonce-7295. — URL: https://doi.org/10.14279/depositonce-7295%20http://arxiv.org/abs/1810.09843.

87. Westerkamp M, Victor F., Kupper A. Tracing manufacturing processes using blockchain-based token compositions // Digital Communications and Networks. — 2020. — May. — Vol. 6, no. 2. — P. 167-176. — DOI: 10.1016/ j.dcan.2019.01.007. — URL: https://linkinghub.elsevier.com/retrieve/pii/ S235286481830244X.

88. Association of Pipe Systems Manufacturers (Russian). — 2006. — URL: http: //www.rapts.ru/ob-assotsiatsii.

89. Rupec News agency. Volume of counterfeiting in the Russian market of polyethylene pipes exceeds 20% (Russian). — 2017. — URL: http://rupec.ru/ news/36240/.

90. Polyplastic Group Group. — 1991. — URL: http://en.polyplastic.ru/.

91. Official site of the Mayor of Moscow. Moscow group POLYPLASTIC has released an "anti-counterfeit" batch of pipes (Russian). — 2019. — URL: https: //www.mos.ru/news/item/63684073/.

92. Minot A., Li N. A fully distributed state estimation using matrix splitting methods // 2015 American Control Conference (ACC). — IEEE. 2015. — P. 2488-2493.

93. Maurer U. Modelling a public-key infrastructure. — 1996. — DOI: 10.1007/3-540-61770-1_45.

94. Giri G., Manohar H. L. Factors influencing the acceptance of private and public blockchain-based collaboration among supply chain practitioners: a parallel mediation model // Supply Chain Management: An International Journal. — 2021. — Aug. — Vol. ahead-of-print, ahead-of-print. — DOI: 10. 1108/scm-02-2021-0057. — URL: https://doi.org/10.1108/scm-02-2021-0057.

95. The blockchain-based Halal traceability systems: a hype or reality? / J.-J. Hew [et al.] // Supply Chain Management: An International Journal. — 2020. — June. — Vol. 25, no. 6. — P. 863-879. — DOI: 10.1108/scm-01-2020-0044. — URL: https://doi.org/10.1108/scm-01-2020-0044.

96. Cole R., Stevenson M, Aitken J. Blockchain technology: implications for operations and supply chain management // Supply Chain Management: An International Journal. — 2019. — June. — Vol. 24, no. 4. — P. 469-483. — DOI: 10.1108/scm-09-2018-0309. — URL: https://doi.org/10.1108/scm-09-2018-0309.

97. Treiblmaier H. The impact of the blockchain on the supply chain: a theory-based research framework and a call for action // Supply Chain Management: An International Journal. — 2018. — Sept. — Vol. 23, no. 6. — P. 545-559. — DOI: 10.1108/scm-01-2018-0029. — URL: https://doi.org/10. 1108/scm-01-2018-0029.

98. Rogerson M, Parry G. C. Blockchain: case studies in food supply chain visibility // Supply Chain Management: An International Journal. — 2020. — May. — Vol. 25, no. 5. — P. 601-614. — DOI: 10.1108/scm-08-2019-0300. — URL: https://doi.org/10.1108/scm-08-2019-0300.

99. Automating Procurement Contracts in the Healthcare Supply Chain Using Blockchain Smart Contracts / I. A. Omar [et al.] // IEEE Access. — 2021. — Vol. 9. — P. 37397-37409. — DOI: 10.1109/access.2021.3062471. — URL: https://doi.org/10.1109/access.2021.3062471.

100. Aitzhan N. Z, Svetinovic D. Security and Privacy in Decentralized Energy Trading Through Multi-Signatures, Blockchain and Anonymous Messaging Streams // IEEE Transactions on Dependable and Secure Computing. — 2018. — Sept. — Vol. 15, no. 5. — P. 840-852. — DOI: 10.1109/tdsc.2016. 2616861. — URL: https://doi.org/10.1109/tdsc.2016.2616861.

101. Novo O. Blockchain Meets IoT: An Architecture for Scalable Access Management in IoT // IEEE Internet of Things Journal. — 2018. — Apr. — Vol. 5, no. 2. — P. 1184-1195. — DOI: 10.1109/jiot.2018.2812239. — URL: https://doi.org/10.1109/jiot.2018.2812239.

102. MeDShare: Trust-Less Medical Data Sharing Among Cloud Service Providers via Blockchain / Q. Xia [et al.] // IEEE Access. — 2017. — Vol. 5. — P. 14757-14767. — DOI: 10.1109/access.2017.2730843. — URL: https:// doi.org/10.1109/access.2017.2730843.

103. An Integrated Multiechelon Logistics Model with Uncertain Delivery Lead Time and Quality Unreliability / M.-F. Yang [et al.] // Mathematical Problems in Engineering. — 2016. — Vol. 2016. — P. 1-13. — DOI: 10.1155/ 2016/8494268. — URL: https://doi.org/10.1155/2016/8494268.

104. Blockchain and Federated Learning for Privacy-Preserved Data Sharing in Industrial IoT / Y. Lu [et al.] // IEEE Transactions on Industrial Informatics. — 2020. — June. — Vol. 16, no. 6. — P. 4177-4186. — DOI: 10.1109/tii.2019.2942190. — URL: https://doi.org/10.1109/tii.2019.2942190.

105. Design Science in Information Systems Research / Hevner [et al.] // MIS Quarterly. — 2004. — Vol. 28, no. 1. — P. 75. — DOI: 10.2307/25148625. — URL: https://doi.org/10.2307/25148625.

106. A Design Science Research Methodology for Information Systems Research / K. Peffers [et al.] // Journal of Management Information Systems. — 2007. — Dec. — Vol. 24, no. 3. — P. 45-77. — DOI: 10.2753/mis0742-1222240302. — URL: https://doi.org/10.2753/mis0742-1222240302.

107. Holmström J., Ketokivi M., Hameri A.-P. Bridging Practice and Theory: A Design Science Approach // Decision Sciences. — 2009. — Feb. — Vol. 40, no. 1. — P. 65-87. — DOI: 10.1111/j. 1540-5915.2008.00221.x. — URL: https://doi.org/10.1111/j.1540-5915.2008.00221.x.

108. Wang Y, Chen C. H, Zghari-Sales A. Designing a blockchain enabled supply chain // International Journal of Production Research. — 2020. — Sept. — Vol. 59, no. 5. — P. 1450-1475. — DOI: 10.1080/00207543.2020.1824086. — URL: https://doi.org/10.1080/00207543.2020.1824086.

109. Wouda H. P., Opdenakker R. Blockchain technology in commercial real estate transactions // Journal of Property Investment & Finance. — 2019. — Sept. — Vol. 37, no. 6. — P. 570-579. — DOI: 10. 1108/jpif-06-2019-0085. — URL: https://doi.org/10.1108/jpif-06-2019-0085.

110. Schulz K. F., Freund D. A Multichain Architecture for Distributed Supply Chain Design in Industry 4.0 // Business Information Systems Workshops. — Springer International Publishing, 2019. — P. 277-288. — DOI: 10.1007/978-3-030-04849-5_25. — URL: https://doi.org/10.1007/978-3-030-04849-5%5C_25.

111. Development and Evaluation of a Blockchain Concept for Production Planning and Control in the Semiconductor Industry / L. Herrgos [et al.] // 2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). — IEEE, 12/2020. — DOI: 10.1109/ ieem45057.2020.9309979. — URL: https://doi.org/10.1109/ieem45057.2020. 9309979.

112. Assessing the Effects of Limited Curbside Pickup Capacity in Meal Delivery Operations for Increased Safety during a Pandemic / H. Fotouhi [et al.] // Transportation Research Record: Journal of the Transportation Research Board. — 2021. — Feb. — P. 036119812199184. — DOI: 10 . 1177 / 0361198121991840. — URL: https://doi.org/10.1177/0361198121991840.

113. The Sustainable Economic Order Quantity Model: A Model Consider Transportation, Warehouse, Emission Carbon Costs, and Capacity Limits / D. M. Utama [et al.] // Journal of Physics: Conference Series. — 2020. — July. — Vol. 1569, no. 2. — P. 022095. — DOI: 10.1088/1742-6596/1569/2/ 022095. — URL: https://doi.org/10.1088/1742-6596/1569/2/022095.

114. Combe C. Introduction to e-Business. — Routledge, 07/2012. — DOI: 10. 4324/9780080492780. — URL: https://doi.org/10.4324/9780080492780.

115. Sarac A., Absi N., Pères S. D. Impacts of RFID technologies on supply chains: a simulation study of a three-level supply chain subject to shrinkage and delivery errors // European J. of Industrial Engineering. — 2015. — Vol. 9, no. 1. — P. 27. — DOI: 10.1504/ejie.2015.067452. — URL: https://doi.org/ 10.1504/ejie.2015.067452.

116. Processes, benefits, and challenges for adoption of blockchain technologies in food supply chains: a thematic analysis / S. Chen [et al.] // Information Systems and e-Business Management. — 2020. — Feb. — Vol. 19, no. 3. — P. 909-935. — DOI: 10.1007/s10257-020-00467-3. — URL: https://doi.org/ 10.1007/s10257-020-00467-3.

117. Miloslavskaya N. Designing blockchain-based SIEM 3.0 system // Information & Computer Security. — 2018. — Oct. — Vol. 26, no. 4. — P. 491-512. — DOI: 10.1108/ics-10-2017-0075. — URL: https://doi.org/10.1108/ics-10-2017-0075.

118. Mehendale D. K., Masurekar R. S., Patil H. V. Implications of Block Chain in Real Estate Industry //. — 2019.

119. Roeck D., Sternberg H, Hofmann E. Distributed ledger technology in supply chains: a transaction cost perspective // International Journal of Production Research. — 2019. — Aug. — Vol. 58, no. 7. — P. 2124-2141. — DOI: 10.1080/ 00207543.2019.1657247. — URL: https://doi.org/10.1080/00207543.2019. 1657247.

120. Codd E. F. A relational model of data for large shared data banks // Communications of the ACM. — 1970. — June. — Vol. 13, no. 6. — P. 377-387. — DOI: 10.1145/362384.362685. — URL: http://doi.acm. org/10.1145/362384.362685.

121. Jaiswal G. Comparative analysis of Relational and Graph databases // IOSR Journal of Engineering. — 2013. — Aug. — Vol. 03, no. 08. — P. 25-27. — DOI: 10.9790/3021-03822527.

122. Dean J. LevelDB: A fast and lightweight key/value database library. — 2011. — URL: https://github.com/google/leveldb.

123. Cachin C. Architecture of the Hyperledger Blockchain Fabric // IBM Research. — 2016. — Vol. July.

124. Borthakur D. RocksDB: A persistent key-value store. — 2014. — URL: https: //github.com/facebook/rocksdb/wiki/rocksdb-basics.

125. Miller J. J. Graph database applications and concepts with Neo4j // Proceedings of the Southern Association for Information Systems Conference, Atlanta, GA, USA. — 2013. — P. 141-147.

126. DB-Engines. DB-Engines Ranking - popularity ranking of graph DBMS. — 2019. — URL: https://db-engines.com/en/ranking/graph+dbms.

127. Yoon B.-H., Kim S.-K., Kim S.-Y. Use of Graph Database for the Integration of Heterogeneous Biological Data // Genomics & Informatics. — 2017. — Vol. 15, no. 1. — P. 19. — DOI: 10.5808/GI.2017.15.1. 19. — URL: http: //genominfo.org/journal/view.php?doi=10.5808/GI.2017.15.1.19.

128. Have C. T., Jensen L. J. Are graph databases ready for bioinformatics? // Bioinformatics. — 2013. — Dec. — Vol. 29, no. 24. — P. 3107-3108. — DOI: 10 . 1093 / bioinformatics / btt549. — URL: https : / / academic . oup . com / bioinformatics/article/29/24/3107/194097.

129. The graph story of the SAP HANA database / M. Rudolf [et al.] // Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI). P-214. — 2013. — P. 403-420. — ISBN 9783885796084.

130. Klangberg I., Vapper S., Wels S. Neo4j and Exonum integration Github Project. — 2019. — URL: https://github.com/sjoerdwels/Exonum-Neo4j.

131. NeoJ. Neo4J Project Example: Moves. — 2019. — URL: https://neo4j.com/ developer/example-project/.

132. Brewer E. A. Towards robust distributed systems (abstract) // Proceedings of the nineteenth annual ACM symposium on Principles of distributed computing - PODC '00. — New York, USA : ACM Press, 2000. — P. 7. — ISBN 1581131836. — DOI: 10.1145/343477.343502. — URL: http://portal. acm.org/citation.cfm?doid=343477.343502.

133. Gilbert S., Lynch N. Brewer's conjecture and the feasibility of consistent, available, partition-tolerant web services // ACM SIGACT News. — 2002. — June. — Vol. 33, no. 2. — P. 51. — DOI: 10.1145/564585.564601. — URL: http://portal.acm.org/citation.cfm?doid=564585.564601.

134. Initial Public Offering (IPO) on Permissioned Blockchain Using Secure Multiparty Computation / T. Halevi [et al.] // 2019 IEEE International Conference on Blockchain (Blockchain). — IEEE, 07/2019. — P. 91-98. — ISBN 978-1-7281-4693-5. — DOI: 10.1109/Blockchain.2019.00021. — URL: https://ieeexplore.ieee.org/document/8946171/.

135. Towards Secure and Decentralized Sharing of IoT Data / H. T. T. Truong [et al.] // 2019 IEEE International Conference on Blockchain (Blockchain). — IEEE, 07/2019. — P. 176-183. — DOI: 10.1109/Blockchain.2019.00031. — URL: https://ieeexplore.ieee.org/document/8946129/.

136. King S., Nadal S. PPCoin : Peer-to-Peer Crypto-Currency with Proof-of-Stake // Self-published paper. — 2012. — P. 1-6. — URL: http: //encryptopedia.org/ppcoin-proof-of-stake/.

137. Korpela K., Hallikas J., Dahlberg T. Digital Supply Chain Transformation toward Blockchain Integration // Proceedings of the 50th Hawaii International Conference on System Sciences. — 01/2017. — P. 4182-4191. — ISBN 9780998133102. — DOI: 10.24251/HICSS.2017.506.

138. Multi-Database Monitoring Tool for the E-Health Services / I. Kotsiuba [et al.] // Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018. — 2019. — ISBN 9781538650356. — DOI: 10.1109/BigData. 2018.8622020.

139. Trust and Reputation in Vehicular Networks: A Smart Contract-Based Approach / N. Malik [et al.] // 2019 18th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/13th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE). — IEEE, 08/2019. — P. 34-41. — ISBN 978-1-7281-2777-4. — DOI: 10.1109/TrustCom/BigDataSE. 2019.00015. — URL: https://ieeexplore.ieee.org/document/8887311/.

140. Shang Q., Price A. A Blockchain-Based Land Titling Project in the Republic of Georgia: Rebuilding Public Trust and Lessons for Future Pilot Projects // Innovations: Technology, Governance, Globalization. — 2019. — Jan. — Vol. 12, no. 3/4. — P. 72-78.

141. Swan M. Blueprint for a new economy. Vol. 58 / ed. by Intergovernmental Panel on Climate Change. — Cambridge : Cambridge University Press, 12/2015. — P. 152. — ISBN 978-1-4919-2044-2. — DOI: 10 . 1017 / CBO9781107415324.004.

142. Vorst T. v. d. Catena: a distributed database based on a blockchain, accessible using SQL. — 2017. — URL: https://github.com/pixelspark/catena.

143. BigchainDB: A Scalable Blockchain Database / T. Mcconaghy [et al.] // BigchainDB. — 2016. — P. 1-65. — URL: http://www.noql.com.

144. Muzammal M, Qu Q., Nasrulin B. Renovating blockchain with distributed databases: An open source system // Future Generation Computer Systems. — 2019. — Jan. — Vol. 90. — P. 105-117. — DOI: 10.1016/j. future.2018.07.042. — URL: https://linkinghub.elsevier.com/retrieve/pii/ S0167739X18308732.

145. Verma M., Ganguly D. LiRME: Locally interpretable ranking model explanation // SIGIR 2019 - Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval. — 2019. — P. 1281-1284. — ISBN 9781450361729. — DOI: 10.1145/nnnnnnn. nnnnnnn.

146. Drake J. D., Worsley J. C. Practical PostgreSQL. — O'Reilly Media, Inc., 2002. — P. 640. — ISBN 9781565928466.

147. Dwork C., Naor M. Pricing via Processing or Combatting Junk Mail // Advances in Cryptology — CRYPTO' 92. — Berlin, Heidelberg : Springer Berlin Heidelberg, 1992. — P. 139-147. — ISBN 3540573402. — DOI: 10. 1007/3-540-48071-4_ 10. — URL: http://link.springer.com/10.1007/3-540-48071-4_10.

148. Ouroboros: A Provably Secure Proof-of-Stake Blockchain Protocol / A. Kiayias [et al.] // Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in

Bioinformatics). 10401 LNCS. — Springer, Cham, 08/2017. — P. 357-388. — ISBN 9783319636870. — DOI: 10. 1007/978-3-319- 63688- 7_ 12. — URL:

https://assets.ctfassets.net/r1dr6vzfxhev.

149. Castro M, Liskov B. Practical Byzantine fault tolerance and proactive recovery // ACM Transactions on Computer Systems. — 2002. — Nov. — Vol. 20, no. 4. — P. 398-461. — DOI: 10.1145/571637.571640. — URL: http://portal.acm.org/citation.cfm?doid=571637.571640.

150. Dollimore J., Kindberg T, Coulouris G. Distributed Systems: Concepts and Design. — Addison-Wesley, 2005. — P. 944. — ISBN 0321263545.

151. Dwork C, Lynch N., Stockmeyer L. Consensus in the presence of partial synchrony // Journal of the ACM. — 1988. — Apr. — Vol. 35, no. 2. — P. 288-323. — DOI: 10.1145/42282.42283. — URL: http://portal.acm.org/ citation.cfm?doid=42282.42283.

152. Lamport L., Shostak R., Pease M. The Byzantine Generals Problem // ACM Transactions on Programming Languages and Systems. — 1982. — July. — Vol. 4, no. 3. — P. 382-401. — DOI: 10.1145/357172.357176. — URL: http: //portal.acm.org/citation.cfm?doid=357172.357176.

153. Jentzsch S, Jentzsch C. EIP-1186: RPC-Method to get Merkle Proofs. — 2018. — URL: https://github.com/ethereum/EIPs/issues/1186.

154. Pilkington M. Blockchain Technology: Principles and Applications // Research Handbook on Digital Transformations. — Springer, 2016. — P. 225-253. — ISBN 978 1 78471 775 9. — DOI: 10.4337/9781784717766.00019.

155. Melton J. Database Language SQL // Handbook on Architectures of Information Systems. — Berlin, Heidelberg : Springer Berlin Heidelberg, 1998. — P. 103-128. — DOI: 10.1007/978-3-662-03526-9_5.

156. Cormen T. H., Leiserson C. E., Rivest R. L. Introduction to Algorithms , Second Edition. — 2001. — P. 1184. — ISBN 0262032937. — DOI: 10.2307/ 2583667.

157. Gilbert D. Blockchain Complaints Hit Record Level As Bitcoin Transaction Times Grow And Fees Rise. — 2016. — URL: https://www.ibtimes.com/ blockchain-complaints-hit-record-level-bitcoin-transaction-times-grow- fees-rise- 2332196.

158. Choi S., Shin K. G. Predictive and adaptive bandwidth reservation for hand-offs in QoS-sensitive cellular networks // Proceedings of the ACM SIGCOMM '98 conference on Applications, technologies, architectures, and protocols for computer communication - SIGCOMM '98. Vol. 28. — New York, New York, USA : ACM Press, 1998. — P. 155-166. — ISBN 1581130031. — DOI: 10.1145/285237.285278.

159. Abel A. B., Bernanke B., Croushore D. D. Macroeconomics. — Pearson,

2014. — P. 646. — ISBN 0132992280.

160. Steemit. Steem: An incentivized, blockchain-based, public content platform. // Steem.io. — 2017. — P. 1-32. — URL: https://steem.io/ SteemWhitePaper.pdf.

161. Lombrozo E., Lau J., Wuille P. Segregated Witness (Consensus layer). —

2015. — URL: https://github.com/bitcoin/bips/blob/master/bip-0141. mediawiki.

162. Starodubov D. Steam: Motivated Social Media Blockchain Platform (russian). — 2017.

163. Smith A. D., Offodile F. Information management of automatic data capture: an overview of technical developments // Information Management & Computer Security. — 2002. — Aug. — Vol. 10, no. 3. — P. 109-118. — DOI: 10.1108/09685220210431863. — URL: http://www.emeraldinsight. com/researchregisters%20https: / / www.emerald.com / insight/ content / doi /10. 1108/09685220210431863/full/html.

164. Comparative study of Barcode, QR-code and RFID System / T. Lotlikar [et al.] // International Journal of Computer Technology and Applications. — 2013. — Vol. 4, no. 5. — P. 817-821. — URL: www.ijcta.com.

165. A readability analysis for QR code application in a traceability system / L. Tarjan [et al.] // Computers and Electronics in Agriculture. — 2014. — Nov. — Vol. 109. — P. 1-11. — DOI: 10.1016/j.compag.2014.08.015. — URL: https://linkinghub.elsevier.com/retrieve/pii/S0168169914002142.

166. Tiwari S. An Introduction to QR Code Technology // 2016 International Conference on Information Technology (ICIT). — IEEE, 12/2016. —

P. 39-44. — ISBN 978-1-5090-3584-7. — DOI: 10.1109/ICIT.2016.021. — URL: http://ieeexplore.ieee.org/document/7966807/.

167. Jain A. K. Handbook of Face Recognition / ed. by S. Z. Li, A. K. Jain. — London : Springer London, 2011. — ISBN 978-0-85729-931-4. — DOI: 10. 1007/978-0-85729-932-1. — URL: http://link.springer.com/10.1007/978-0-85729-932-1.

168. Reed I. S., Solomon G. Polynomial Codes Over Certain Finite Fields // Journal of the Society for Industrial and Applied Mathematics. — 1960. — June. — Vol. 8, no. 2. — P. 300-304. — DOI: 10.1137/0108018. — URL: http://epubs.siam.org/doi/10.1137/0108018.

169. Munro T. Datamatrix and QR codes: why 2D codes are still relevant in 2016. — 2016. — URL: https://blog.matthews.com.au/datamatrix-and-qr-codes-why-2d-codes-are-still-relevant-in-2016/.

170. Kato H, Tan K. T, Chai D. Barcodes for Mobile Devices. — Cambridge : Cambridge University Press, 2010. — P. 1-257. — ISBN 9780511712241. — DOI: 10.1017/CBO9780511712241. — URL: http://ebooks.cambridge.org/ ref/id/CBO9780511712241.

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