计算机科学 ›› 2021, Vol. 48 ›› Issue (10): 301-307.doi: 10.11896/jsjkx.210300308
王勤, 魏立斐, 刘纪海, 张蕾
WANG Qin, WEI Li-fei, LIU Ji-hai, ZHANG Lei
摘要： 隐私集合交集(Private Set Intersection,PSI)技术允许私有集合数据持有方联合计算出集合交集而不泄露交集外的任何隐私信息。作为安全多方计算中的重要密码学工具,该技术已被广泛应用于人工智能和数据挖掘的安全领域。随着多源数据共享时代的到来,大多数PSI协议主要解决两方隐私集合交集问题,一般无法直接推广到多方隐私交集计算场景。文中设计了基于云服务器辅助的多方隐私交集计算协议,能将部分计算和通信外包给不可信云服务器而又不会泄露任何隐私数据,通过使用不经意伪随机函数、秘密共享和键值对打包方法使得协议更高效。通过模拟范例证明了协议在半诚实模型下能够安全地计算多方隐私集合交集,所有参与方和云服务器都无法窃取额外数据。与现有方案相比,所提协议受限制更少,适用范围更广。
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| [1]SHEN L Y,CHENG X J,SHI J Q,et al.A review of the research on privacy protection set intersection computing techno-logy[J].Computer Research and Development,2017,54(10):2153-2169. [2]CUI H R,LIU T Y,YU Y.Overview of the development status of set intersection computing protocol with privacy protection[J].Information Security and Communication Confidentiality,2019(3):48-67. [3]YUNG M.From mental poker to core business:Why and how to deploy secure computation protocols?[C]//Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications Security.New York:Association for Computing Machinery,2015:1-2. [4]AGGARWAL C C,YU P S.Privacy-preserving data mining:models and algorithms[M].Springer Science & Business Media,2008. [5]DEMMLER D,RINDAL P,ROSULEK M,et al.PIR-PSI:Sca-ling Private Contact Discovery[J].Proceedings on Privacy Enhancing Technologies,2018(4):159-178. [6]DUONG T,PHAN D H,TRIEU N.Catalic:Delegated PSI Cardinality with Applications to Contact Tracing[C]//InternationalConference on the Theory and Application of Cryptology and Information Security.Cham:Springer,2020:870-899. [7]KOLESNIKOV V,MATANIA N,PINKAS B,et al.Practicalmulti-party private set intersection from symmetric-key techniques[C]//Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security.New York:Associa-tion for Computing Machinery,2017:1257-1272. [8]ZHANG E,LIU F H,LAI Q,et al.Efficient Multi-Party Private Set Intersection Against Malicious Adversaries[C]//Procee-dings of the 2019 ACM SIGSAC Conference on Cloud Computing Security Workshop.New York:Association for Computing Machinery,2019:93-104. [9]LI S D,ZHOU S F,GUO Y M,et al.Collective Privacy Computing in Cloud Environment[J].Journal of Software,2016,27(6):1549-1565. [10]FREEDMAN M J,NISSIM K,PINKAS B.Efficient privatematching and set intersection[C]//International Conference on the Theory and Applications of Cryptographic Techniques.Berlin,Heidelberg:Springer,2004:1-19. [11]PINKAS B,SCHNEIDER T,ZOHNER M.Faster private setintersection based on OT extension[C]//Proceedings of the 23rd USENIX Security Symposium.San Diego:{USENIX} Association,2014:797-812. [12]KOLESNIKOV V,KUMARESAN R,ROSULEK M,et al.Efficient batched oblivious PRF with applications to private set intersection[C]//Proceedings of the 2016 ACM SIGSAC Confe-rence on Computer and Communications Security.New York:Association for Computing Machinery,2016:818-829. [13]PINKAS B,SCHNEIDER T,SEGEV G,et al.Phasing:Private set intersection using permutation-based hashing[C]//Procee-dings of the 24th USENIX Security Symposium USENIX Association.2015:515-530. [14]PINKAS B,ROSULEK M,TRIEU N,et al.Spot-light:Lightweight private set intersection from sparse ot extension[C]//Annual International Cryptology Conference.Cham:Springer,2019:401-431. [15]CHEN Z H,LI S D,HUANG Q,et al.Non-encrypted method securely calculates two sets of relations[J].Journal of Software,2018,29(2):473-482. [16]SONG X F,GAI M,ZHAO S N,et al.Privacy protection statistical protocol for ensemble computing[J].Computer Research and Development,2020,57(10):2221-2231. [17]DOU J W,LIU X H,WANG W L.Efficient and secure calculation of two-party sets in the field of rational numbers[J].Chinese Journal of Computers,2020,43(8):1397-1413. [18]ABADI A,TERZIS S,DONG C.O-PSI:delegated private set intersection on outsourced datasets[C]//IFIP International Information Security and Privacy Conference.Cham:Springer,2015:3-17. [19]TAJIMA A,SATO H,YAMANA H.Outsourced private set intersection cardinality with fully homomorphic encryption[C]//2018 6th International Conference on Multimedia Computingand Systems (ICMCS).IEEE,2018:1-8. [20]ABADI A,TERZIS S,METERE R,et al.Efficient delegatedprivate set intersection on outsourced private datasets[J].IEEE Transactions on Dependable and Secure Computing,2017,16(4):608-624. [21]GOLDREICH O.Foundations of cryptography:volume 2,basic applications[M].Cambridge University Press,2009. [22]SCHNEIER B.Applied cryptography:protocols,algorithms,and source code in C[M].John Wiley & Sons,2007. [23]DONG C,CHEN L,WEN Z.When private set intersectionmeets big data:an efficient and scalable protocol[C]//Procee-dings of the 2013 ACM SIGSAC Conference on Computer & Communications Security.New York:Association for Computing Machinery,2013:789-800. [24]VICTOR S.NTL:A Library for doing Number Theory[EB/QL].https://libntl.org/. |
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