사물인터넷융복합논문지 (Journal of Internet of Things and Convergence)

한국사물인터넷학회 (The Korea Internet of Things Society)
권호 표지
DOI QR코드

DOI QR Code

퍼블릭 블록체인 기반 SMPC 생체인증 시스템 제안

Proposal of SMPC Biometric Authentication System Based on Public Blockchain

  • 두지수 (백석대학교 컴퓨터공학부) ;
  • 강혁 (고려대학교 영상정보처리협동과정) ;
  • 이근호 (백석대학교 컴퓨터공학부)
  • Ji-Su Doo (Division of Computer Engineering, BaekSeok University) ;
  • Hyeok Kang (Program in Visual Information Processing, Korea University) ;
  • Keun-Ho Lee (Division of Computer Engineering, Baek-Seok University)
  • 투고 : 2023.02.21
  • 심사 : 2023.03.29
  • 발행 : 2023.04.30
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

4차 산업혁명의 영향으로 정형, 비정형 데이터를 수집 및 활용하는 방식이 발전됨에 따라 원치 않은 개인 정보 데이터도 수집되어 활용하고 있으며, 해커들은 정보탈취를 위해 다양한 공격을 시도하고 있다. 그럼에 따라 정보보호에 대한 중요성이 증가 되어 여러 보호 기법들이 등장하게 되었고 그 중 생체인증 기법의 보안성을 강화하기 위해 블록체인의 탈중앙화 기법과 다양한 알고리즘들을 활용한 연구가 많이 진행되었다. 본 논문에서는 분산 인증 시스템인 SMPC를 퍼블릭 블록체인 생체인증 시스템에 활용함으로써 사용자가 퍼블릭 블록체인 안에서 더욱 안전한 생체인증 방식으로 자신의 데이터를 보호할 수 있고 인증된 정보로 서명을 통해 블록체인 안에서 이용할 수 있도록 하는 퍼블릭 블록체인 생체인증 시스템을 제안하였다.

As the method of collecting and utilizing structured and unstructured data develops due to the influence of the Fourth Industrial Revolution, unwanted personal information data is also being collected and utilized, and hackers are attempting various attacks to steal information. As a result, the importance of information protection has increased, and various protection techniques have emerged, among which many studies have been conducted using decentralized techniques of blockchain and various algorithms to strengthen the security of biometric authentication techniques. This paper proposed a public blockchain biometric authentication system that allows users to protect their data in a safer biometric authentication method in the public blockchain and use it in the blockchain through signature with authenticated information.

키워드

과제정보

본 논문은 2020년도 정부(교육부)의 재원으로 한국연구재단의 지원을 받아 수행된 기초연구사업임 (NRF-2020R1I1A3069008)

참고문헌

  1. Nakamoto. S, "Bitcoin: A Peer-to-Peer Electronic Cash System," 2008.
  2. Z. Zheng, S. Xie, H. Dai, X. Chen and H. Wang, "An Overview of Blockchain Technology: Architecture, Consensus, and Future Trends," 2017 IEEE International Congress on Big Data (BigData Congress), pp.557-564, 2017.
  3. K. Christidis and M. Devetsikiotis, "Blockchains and Smart Contracts for the Internet of Things," in IEEE Access, Vol.4, pp.2292-2303, 2016. https://doi.org/10.1109/ACCESS.2016.2566339
  4. T. M. Fernandez-Carames and P. Fraga-Lamas, "Towards Post-Quantum Blockchain: A Review on Blockchain Cryptography Resistant to Quantum Computing Attacks," in IEEE Access, Vol.8, pp.21091-21116, 2020. https://doi.org/10.1109/ACCESS.2020.2968985
  5. A. Azaria, A. Ekblaw, T. Vieira and A. Lippman, "MedRec: Using Blockchain for Medical Data Access and Permission Management," 2016 2nd International Conference on Open and Big Data (OBD), pp.25-30, 2016.
  6. U. Uludag, S. Pankanti, S. Prabhakar and A. K. Jain, "Biometric cryptosystems: issues and challenges," in Proceedings of the IEEE, Vol.92, No.6, pp.948-960, 2004. https://doi.org/10.1109/JPROC.2004.827372
  7. R. Bhupal, K. L. Sanjana, N. K. Khaneja, P. Bhartiya, A. S. Bhat and S. B J, "Finger Vein Authentication System," 2021 International Conference on Computer Communication and Informatics (ICCCI), pp.1-7, 2021.
  8. S. Pouryayevali, S. Wahabi, S. Hari and D. Hatzinakos, "On establishing evaluation standards for ECG biometrics," 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.3774-3778, 2014.
  9. Vijay Bhaskar Semwal, Manish Raj, G.C. Nandi, "Biometric gait identification based on a multilayer perceptron," Robotics and Autonomous Systems, Vol.65, pp.65-75, 2015. https://doi.org/10.1016/j.robot.2014.11.010
  10. A. Mansour, M. Sadik and E. Sabir, "Multi-factor authentication based on multimodal biometrics (MFA-MB) for Cloud Computing," 2015 IEEE/ACS 12th International Conference of Computer Systems and Applications (AICCSA), pp.1-4, 2015.
  11. Y. C. Tsai, R. Tso, Z. -Y. Liu and K. Chen, "An Improved Non-Interactive Zero-Knowledge Range Proof for Decentralized Applications," 2019 IEEE International Conference on Decentralized Applications and Infrastructures (DAPPCON), pp.129-134, 2019.
  12. Yuhan Yang, Lijun Wei, Jing Wu, Chengnian Long, "Block-SMPC: A Blockchain-based Secure Multi-party Computation for Privacy-Protected Data Sharing," In Proceedings of the 2020 The 2nd International Conference on Blockchain Technology (ICBCT'20), Association for Computing Machinery, pp.46-51, 2020.
  13. FengY, Bai T, Lu S, Tang X, Wu J, "SMPC Task Decomposition: A Theory for Accelerating Secure Multi-party Computation Task," 2023.
  14. Kristin E. Lauter, "Practical applications of homomorphic encryption," In Proceedings of the 2012 ACM Workshop on Cloud computing security workshop (CCSW '12), Association for Computing Machinery, pp.57-58, 2012.
  15. Ahmed El-Yahyaoui and Mohamed Dafir EC-Chrif El Kettani, "Fully homomorphic encryption: Searching over encrypted cloud data," In Proceedings of the 2nd international Conference on Big Data, Cloud and Applications (BDCA'17), Association for Computing Machinery, pp.1-5, 2017.
  16. Zvika Brakerski, Craig Gentry, and Vinod Vaikuntanathan, "(Leveled) Fully Homomorphic Encryption without Bootstrapping," ACM Trans. Comput, 2014.
  17. Zvika Brakerski, Craig Gentry, and Vinod Vaikuntanathan. "(Leveled) fully homomorphic encryption without bootstrapping," In Proceedings of the 3rd Innovations in Theoretical Computer Science Conference (ITCS '12). Association for Computing Machinery, pp.309-325, 2012.