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STRISA: A New Regulation Architecture to Enforce Travel Rule

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Silicon Valley Cybersecurity Conference (SVCC 2020)

Abstract

FATF introduces a new regulation framework with Travel Rule in 2019, many crypto exchanges have incorporated the TRISA (Travel rule information sharing architecture) system as a part of their compliance mechanisms. However, the TRISA system may not meet the regulation requirements for all the countries. This paper proposes another version of TRISA, STRISA, that is compatible with the TRISA, but with four new features: 1) track individual digital wallets; 2) support a BDL (Blockchain Data Lake) platform that can interoperate with various blockchain (BC) systems for analysis; 3) supply a regulation enforcement framework using smart contracts with automated machine learning techniques; 4) Most of data are stored in associated BCs to ensure that no one including regulators should try to alter the data stored to protect the integrity of entire regulation compliance process. This paper also discusses other design and protocols to support these new features including unique storage scheme, double-interlocking mechanism. STRISA has been implemented and is available for research and experimentation.

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Acknowledgment

This work is supported by National Key Laboratory of Software Environment at Beihang University, National 973 Program (Grant No. 2013CB329601) and National Natural Science Foundation of China (Grant No. 61672075) and (Grant No. 61690202). This work was also supported by Chinese Ministry of Science and Technology (Grant No. 2018YFB1402700). This is also supported by LaoShan government. This is also supported by Major Science and Technology Innovation Projects in Shandong Province (Grant No. 2018CXGC0703).

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Correspondence to Rong Wang .

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Tsai, WT., Yang, D., Wang, R., Wang, K., Xiang, W., Deng, E. (2021). STRISA: A New Regulation Architecture to Enforce Travel Rule. In: Park, Y., Jadav, D., Austin, T. (eds) Silicon Valley Cybersecurity Conference. SVCC 2020. Communications in Computer and Information Science, vol 1383. Springer, Cham. https://doi.org/10.1007/978-3-030-72725-3_4

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  • DOI: https://doi.org/10.1007/978-3-030-72725-3_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-72724-6

  • Online ISBN: 978-3-030-72725-3

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