최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기情報保護學會論文誌 = Journal of the Korea Institute of Information Security and Cryptology, v.32 no.5, 2022년, pp.779 - 790
Fuzzy extractor is a biometric encryption that generates keys from biometric data where input values are not always the same due to the noisy data, and performs authentication securely without exposing biometric information. However, if a user registers biometric data on multiple servers, various at...
M. Zhang, B. Yang, W. Zhang, and T. Takagi, "Multibiometric Based Secure Encryption, Authentication Scheme with Fuzzy Extractor," International Journal of Network Security, vol. 12, no. 2, pp. 50-57, Mar. 2011.
N. Li, F. Guo, Y. Mu, W. Susilo, and S. Nepal, "Fuzzy extractors for biometric identication," 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS), pp. 667-677, July 2017.
X. Boyen, "Reusable cryptographic fuzzy extractors," Proceedings of the 11th ACM conference on Computer and Communications Security, pp. 82-91, Oct. 2004.
R. Canetti, B. Fuller, O. Paneth, L. Reyzin, and A. Smith, "Reusable fuzzy extractors for low-entropy distributions," Annual International Conference on the TheoryandApplications of CryptographicTechniques, pp. 117-146, 2016.
D. Apon, C.Cho, K. Eldefrawy, andJ.Katz "Efficient, reusable fuzzyextractors from LWE," International Conference on Cyber SecurityCryptography and Machine Learning.Springer, Cham, pp. 1-18, June2017.
Y. Wen, S. Liu, and S. Han,"Reusable fuzzy extractor fromthedecisional Diffie-Hellman assumption," Designs, Codes and Cryptography,vol. 86, no. 11, pp. 2495-2512, Jan.2018.
Y. Wen and S. Liu, "Robustlyreusable fuzzy extractor from standard assumptions," International Conference on the TheoryandApplication of Cryptology and Information Security, Springer, Cham,pp.459-489, June 2018.
Y. Dodis, L. Reyzin, and A. Smith,"Fuzzy extractors: Howto generatestrong keys from biometrics and othernoisy data," International conferenceon the theory and applicationsof cryptographic techniques, Springer,Berlin, Heidelberg, pp. 523-540, May2004.
M. Blanton and M. Aliasgari, "Onthe(non-) reusability of fuzzy sketchesand extractors and security inthecomputational setting," Proceedings of the International ConferenceonSecurity and Cryptography, pp. 68-77,July 2011.
B. Fuller, X. Meng, and L. Reyzin,"Computational fuzzy extractors," Information and computation, vol.275, 104602, Dec. 2020.
C. Peikert, "Lattice cryptographyforthe internet," International workshop on post-quantum cryptography, Springer, vol. 8772, pp. 197-219, 2014.
O. Regev, "On lattices, learning with errors, random linear codes, and cryptography," Journal of the ACM (JACM), vol. 56, no. 6, pp. 1-40, Sept. 2009.
Z. Brakerski and V. Vaikuntanathan, "Efficient fully homomorphic encryption from (standard) LWE," SIAM Journal on computing, vol. 43, no. 2, pp. 831-871, 2014.
Z. Brakerski and V. Vaikuntanathan, "Lattice-based FHE as secure as PKE," Proceedings of the 5th conference on Innovations in theoretical computer science, pp. 1-12, Jan. 2014.
C. Gentry, C.Peikert, and V.Vaikuntanathan, "Trapdoors for hard lattices and new cryptographic constructions," Proceedings of the fortieth annual ACM symposium on Theory of computing, pp. 197-206, May 2008.
S. Agrawal, D. Boneh, and X. Boyen,"Efficient lattice (H) IBEinthestandard model," Annual International Conference on the TheoryandApplications of CryptographicTechniques, Springer, Berlin,Heidelberg, pp. 553-572, 2010.
B. Barak, Y. Dodis, H. Krawczyk, O.Pereira, K. Pietrzak, F. X. Standaert,Y. Yu, "Leftover hash lemma,revisited," Annual CryptologyConference, Springer, Berlin,Heidelberg, pp. 1-20, 2011.
S. Goldwasser, YT. Kalai, C. Peikert,and V. Vaikuntanathan, "Robustnessof the learning witherrorsassumption," Proceedings of theInnovations in Computer Science, pp.230-240, 2010.
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
Free Access. 출판사/학술단체 등이 허락한 무료 공개 사이트를 통해 자유로운 이용이 가능한 논문
※ AI-Helper는 부적절한 답변을 할 수 있습니다.