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Запечников, Сергей Владимирович

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Институт интеллектуальных кибернетических систем
Цель ИИКС и стратегия развития - это подготовка кадров, способных противостоять современным угрозам и вызовам, обладающих знаниями и компетенциями в области кибернетики, информационной и финансовой безопасности для решения задач разработки базового программного обеспечения, повышения защищенности критически важных информационных систем и противодействия отмыванию денег, полученных преступным путем, и финансированию терроризма.
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Запечников
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Сергей Владимирович
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2021 - 20234
22
4
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Автор: Konkin, A. ×

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  • Уменьшенное изображение
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    Techniques for Private Transactions in Corporate Blockchain Networks
    (2021) Konkin, A.; Zapechnikov, S.; Запечников, Сергей Владимирович
    © 2021 IEEE.Blockchain platforms are generally applied to automate operations using a trusted environment with broadcast messaging and distributed data storing. At the same time corporates still have business requirements to also send confidential peer-to-peer messages or private transactions. Mainly these requirements derive from the law obligations (bank secrecy, GDPR, etc.) and the necessity to protect competitive market advantages. Blockchain platforms for public networks ignore requirements for private transactions due to user anonymity and the absence of personal data in blockchain networks. Enterprise blockchain platforms for corporate networks mostly address confidential issues by transferring private data through trusted third parties (TTP) or intermediaries, and off-chain peer-to-peer messaging. However, these approaches miss core blockchain advantages of a trusted environment-immutability and integrity of private data. This article introduces a new technique and its implementation of private transactions in a blockchain that is based on both off-chain peer-to-peer messaging with confidential data and broadcast transactions that contain hashes of private data to verify immutability and integrity. The article provides technical details of the method, also performance issues are discussed.
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    Zero knowledge proof and ZK-SNARK for private blockchains
    (2023) Konkin, A.; Zapechnikov, S.; Запечников, Сергей Владимирович
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    Systematization of knowledge: privacy methods and zero knowledge proofs in corporate blockchains
    (2023) Konkin, A.; Zapechnikov, S.; Запечников, Сергей Владимирович
    Nowadays enterprises implement blockchain technology in various industries, including finance, logistics, and other sectors. While the core idea behind blockchain is to decentralize storage, enterprises need to address privacy issues of replicated data. One of the methods to solve privacy in the blockchain is to adjust zero-knowledge-proof protocols. We comprehensively review blockchain privacy techniques employing zero-knowledge proofs and other cryptographic techniques and discuss the World and Russian standardization processes in blockchain privacy techniques.
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    Privacy methods and zero-knowledge poof for corporate blockchain
    (2021) Konkin, A.; Zapechnikov, S.; Запечников, Сергей Владимирович
    © 2020 Elsevier B.V.. All rights reserved.Nowadays distributed ledger technology or blockchain is widely used in the corporate sector for various industries. Although implementation issues (coding practice, lack of capabilities, etc.) are not among the major barriers for the technology adaption, there are still some informational security challenges to adjust and scale blockchain networks for corporate usage. One of them is to provide functionality for private transactions stored in a blockchain. Some methods including mix networks, ring signatures, and off-chain protocols were applied to meet the privacy requirements. However, these methods have some limitations associated with the key blockchain characteristics such as decentralized storing system and immutability verification of private data. This article examines zero-knowledge proof (ZKP) methods for corporate blockchain networks. The article provides the review of existing methods for private transactions, discovers the implementation of ZKP methods, also performance and scalability issues are discussed.