Symmetric Private Information Retrieval For MDS Coded Distributed Storage

被引:0
|
作者
Wang, Qiwen [1 ]
Skoglund, Mikael [1 ]
机构
[1] KTH Royal Inst Technol, Sch Elect Engn, Stockholm, Sweden
关键词
D O I
暂无
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
A user wants to retrieve a file from a database without revealing the identity of the file retrieved at the database, which is known as the problem of private information retrieval (PIR). If it is further required that the user obtains no information about the database other than the desired file, the concept of symmetric private information retrieval (SPIR) is introduced to guarantee privacy for both parties. In this paper, the problem of SPIR is studied for a database stored among N nodes in a distributed way, by using an (N, M)-MDS storage code. The information-theoretic capacity of SPIR, defined as the maximum number of information bits of the desired file retrieved per downloaded bit, for the coded database is derived. It is shown that the SPIR capacity for coded database is 1 -M/ N, when the amount of the shared common randomness of distributed nodes (unavailable at the user) is at least M/N-M times the file size. Otherwise, the SPIR capacity for the coded database equals zero.
引用
收藏
页数:6
相关论文
共 50 条
  • [31] A Guided Walk Through Coded Private Information Retrieval
    D'Oliveira, Rafael G. L.
    Rouayheb, Salim El
    IEEE BITS the Information Theory Magazine, 2023, 3 (04): : 51 - 66
  • [32] The Capacity of Private Information Retrieval From Coded Databases
    Banawan, Karim
    Ulukus, Sennur
    IEEE TRANSACTIONS ON INFORMATION THEORY, 2018, 64 (03) : 1945 - 1956
  • [33] Private Information Retrieval with Private Side Information Under Storage Constraints
    Wei, Yi-Peng
    Ulukus, Sennur
    2018 IEEE INFORMATION THEORY WORKSHOP (ITW), 2018, : 345 - 349
  • [34] Multi-Server Private Information Retrieval with Coded Side Information
    Kazemi, Fatemeh
    Karimi, Esmaeil
    Heidarzadeh, Anoosheh
    Sprintson, Alex
    2019 16TH CANADIAN WORKSHOP ON INFORMATION THEORY (CWIT), 2019,
  • [35] Capacity-Achieving Private Information Retrieval Codes from MDS-Coded Databases with Minimum Message Size
    Zhou, Ruida
    Tian, Chao
    Liu, Tie
    Sun, Hua
    2019 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT), 2019, : 370 - 374
  • [36] Capacity-Achieving Private Information Retrieval Codes From MDS-Coded Databases With Minimum Message Size
    Zhou, Ruida
    Tian, Chao
    Sun, Hua
    Liu, Tie
    IEEE TRANSACTIONS ON INFORMATION THEORY, 2020, 66 (08) : 4904 - 4916
  • [37] Private Information Retrieval from Coded Storage in the Presence of Omniscient and Limited-Knowledge Byzantine Adversaries
    Kurihara, Jun
    Nakamura, Toru
    Watanabe, Ryu
    IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2021, E104A (09) : 1271 - 1283
  • [38] The Minimum Upload Cost of Symmetric Private Information Retrieval
    Zhou, Yanliang
    Wang, Qiwen
    Sun, Hua
    Fu, Shengli
    2020 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT), 2020, : 1030 - 1034
  • [39] Private Information Retrieval from Coded Databases with Colluding Servers
    Freij-Hollanti, Ragnar
    Gnilke, Oliver W.
    Hollanti, Camilla
    Karpuk, David A.
    SIAM JOURNAL ON APPLIED ALGEBRA AND GEOMETRY, 2017, 1 (01): : 647 - 664
  • [40] Quantum private information retrieval from coded and colluding servers
    Allaix M.
    Holzbaur L.
    Pllaha T.
    Hollanti C.
    IEEE Journal on Selected Areas in Information Theory, 2020, 1 (02): : 599 - 610