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Adapting Financial Technology Standards to Blockchain Platforms

Published:18 April 2019Publication History

ABSTRACT

Traditional payment systems have standards designed to keep transaction data secure, but blockchain systems are not in scope for such security standards. We compare the Payment Application Data Security Standard's (PA-DSS) applicability towards transaction-supported blockchain platforms to test the standard's applicability. By highlighting the differences in implementation on traditional and decentralized transaction platforms, we critique and adapt the standards to fit the decentralized model. In two case studies, we analyze the QTUM and Ethereum blockchain platforms' industry compliance, as their payment platforms support transactions equivalent to that of applications governed by the PA-DSS. We determine QTUM's and Ethereum's capabilities to properly ensure secure data handling with respect to current security standards. After adapting the PA-DSS and analyzing the QTUM and Ethereum platforms, we revise the new set of standards to create a set of best-practices for ensuring data security on both traditional and blockchain payment systems. We report the security gaps identified on each platform based on the final revision of the standards, presenting a conclusive perspective that neither platform is suitable for business adoption based on the PA-DSS standard's results. Finally, we discuss open research issues.

References

  1. M. Andrychowicz, S. Dziembowski, D. Malinowski, and L. Mazurek. 2014. Secure Multiparty Computations on Bitcoin. In 2014 IEEE Symposium on Security and Privacy (SP). IEEE, San Jose, CA, USA, pp. 443--458. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. N. Atzei, M. Bartoletti, and T. Cimoli. 2017. A Survey of Attacks on Ethereum Smart Contracts (SoK). In Principles of Security and Trust. Springer, pp. 164--186. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. M. Bartoletti and L. Pompianu. 2017. An Empirical Analysis of Smart Contracts: Platforms, Applications, and Design Patterns. In International Conference on Financial Cryptography and Data Security. Springer, Sliema, Malta, pp. 494--509.Google ScholarGoogle Scholar
  4. A. Biryukov, D. Khovratovich, and I. Pustogarov. 2014. Deanonymisation of Clients in Bitcoin P2P Network. In Proceedings of the 2014 ACM SIGSAC Conference on Computer and Communications Security. ACM, Scottsdale, AZ, USA, pp. 15--29. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. M. Conti, S. Kumar, C. Lal, and S. Ruj. 2018. A Survey on Security and Privacy Issues of Bitcoin. IEEE Communications Surveys & Tutorials 20, 4 (2018), pp. 3416--3452.Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. K. Delmolino, M. Arnett, A. Kosba, A. Miller, and E. Shi. 2016. Step by Step Towards Creating a Safe Smart Contract: Lessons and Insights from a Cryptocurrency Lab. In International Conference on Financial Cryptography and Data Security. Springer, ChristChurch, Barbados, pp. 79--94.Google ScholarGoogle Scholar
  7. G. Bello and A.J. Perez 2018. Adapted PA-DSS Standards. https://tinyurl.com/yabykwf8Google ScholarGoogle Scholar
  8. A. Kosba, A. Miller, E. Shi, Z. Wen, and C. Papamanthou. 2016. Hawk: The Blockchain Model of Cryptography and Privacy-Preserving Smart Contracts. In 2016 IEEE symposium on security and privacy (SP). IEEE, San Jose, CA, USA, pp. 839--858.Google ScholarGoogle Scholar
  9. P. Koshy, D. Koshy, and P. McDaniel. 2014. An Analysis of Anonymity in Bitcoin using P2P Network Traffic. In International Conference on Financial Cryptography and Data Security. Springer, Christ Church, Barbados, pp. 469--485.Google ScholarGoogle Scholar
  10. L. Luu, D. Chu, H. Olickel, P. Saxena, and A. Hobor. 2016. Making Smart Contracts Smarter. In Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security. ACM, Vienna, Austria, pp. 254--269. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. M. Di Ferrante and R. Mercer. 2017. Towards Blockchain Transaction Privacy. https://www.clearmatics.com/wp-content/uploads/2017/06/IEEE-Presentation.pdfGoogle ScholarGoogle Scholar
  12. M. Gray and C. Hajduk. 2017. Anatomy of a Smart Contract. https://github.com/Azure/azure-blockchain-projects/blob/master/bletchley/AnatomyofASmartContract.mdGoogle ScholarGoogle Scholar
  13. M. Gray and C. Hajduk. 2017. Anatomy of a Smart Contract 2. https://azure.microsoft.com/en-us/blog/scanatomy-2Google ScholarGoogle Scholar
  14. S. Ma, Y. Deng, D. He, J. Zhang, and X. Xie. 2017. An Efficient NIZK Scheme for Privacy-Preserving Transactions over Account-Model Blockchain. IACR Cryptol. e-Print Arch., Tech. Rep (2017), 1239.Google ScholarGoogle Scholar
  15. M.Gray and C. Hajduk. 2017. Cryptlets Deep Dive. https://github.com/Azure/azure-blockchain-projects/blob/master/bletchley/CryptletsDeepDive.mdGoogle ScholarGoogle Scholar
  16. N. Szabo. 1997. The Idea of Smart Contracts. http://www.fon.hum.uva.nl/rob/Courses/InformationInSpeech/CDROM/Literature/LOTwinterschool2006/szabo.best.vwh.net/idea.htmlGoogle ScholarGoogle Scholar
  17. N. Szabo. 2002. A Formal Language for Analyzing Contracts. http://www.fon.hum.uva.nl/rob/Courses/InformationInSpeech/CDROM/Literature/LOTwinterschool2006/szabo.best.vwh.net/contractlanguage.htmlGoogle ScholarGoogle Scholar
  18. S. Nakamoto. 2008. Bitcoin: A Peer-to-Peer Electronic Cash System. (2008).Google ScholarGoogle Scholar
  19. PCI Security Standards Council. 2008. Payment Application Data Security Standard: Frequently Asked Questions. https://www.pcisecuritystandards.org/pdfs/pci_pa-dss_faqs.pdfGoogle ScholarGoogle Scholar
  20. PCI Security Standards Council. 2013. Payment Card Industry (PCI) Payment Application Data Security Standard-Requirements and Security Assessment Procedures version 3.0. https://www.pcisecuritystandards.org/minisite/en/docs/PA-DSS_v3.pdfGoogle ScholarGoogle Scholar
  21. Y. Sompolinsky and A. Zohar. 2015. Secure High-Rate Transaction Processing in Bitcoin. In International Conference on Financial Cryptography and Data Security. Springer, San Juan, Puerto Rico, pp. 507--527.Google ScholarGoogle Scholar
  22. U.S. Small Business Administration. 2016. Contract Law - How to Create a Legally Binding Contract. https://www.sba.gov/blogs/contract-law-how-create-legally-binding-contractGoogle ScholarGoogle Scholar
  23. V. Buterin 2016. Thinking About Smart Contract Security. https://blog.ethereum.org/2016/06/19/thinking-smart-contract-security/Google ScholarGoogle Scholar
  24. F. Zhang, E. Cecchetti, K. Croman, A. Juels, and E. Shi. 2016. Town Crier: An Authenticated Data Feed for Smart Contracts. In Proceedings of the 2016 ACM SIGSAC conference on computer and communications security. ACM, Vienna, Austria, pp. 270--282. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Adapting Financial Technology Standards to Blockchain Platforms

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          Balint Molnar

          Financial technology (fintech) has become an important component of the finance, banking, and payment industry. Essential financial technologies include the various approaches for blockchain and smart contracts. In this paper, the authors investigate the standard defined by the payment industry as it applies to recent blockchain and smart contract solutions. The literature overview discusses vulnerabilities and privacy problems related to the actual implementation of blockchain and smart contracts. User anonymization, pseudo-anonymization, and identification are crucial issues. There are some contradictory requirements: simple payment transactions necessitate the anonymity of the payer side generally; on the other hand, business transactions among firms demand the unambiguous identification of partners. The authors select two available solutions: QTUM and Ethereum. The authors analyze whether the Payment Application Data Security Standard (PA-DSS) permits the application of blockchain and smart contract technologies, and where gaps exist in its definition. A comparative study highlights the violations and discrepancies of the prescribed rules between the two technologies and PA-DSS. The paper is an interesting read for security experts, professionals, and consultants involved in fintech. The authors examine privacy, data security, and protection problems using the two platforms. They conclude that the smart contract solution offers enormous business potential; however, several security issues remain. PA-DSS designates the roadmap that contributors to blockchain and smart contract technologies should follow.

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          • Published in

            cover image ACM Conferences
            ACM SE '19: Proceedings of the 2019 ACM Southeast Conference
            April 2019
            295 pages
            ISBN:9781450362511
            DOI:10.1145/3299815
            • Conference Chair:
            • Dan Lo,
            • Program Chair:
            • Donghyun Kim,
            • Publications Chair:
            • Eric Gamess

            Copyright © 2019 ACM

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            Association for Computing Machinery

            New York, NY, United States

            Publication History

            • Published: 18 April 2019

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            Overall Acceptance Rate178of377submissions,47%

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