Private Information Retrieval Over Random Linear Networks

被引:9
|
作者
Tajeddine, Razane [1 ]
Wachter-Zeh, Antonia [2 ]
Hollanti, Camilla [1 ]
机构
[1] Aalto Univ, Sch Sci, Dept Math & Syst Anal, FI-00076 Aalto, Finland
[2] Tech Univ Munich, Inst Commun Engn, D-80333 Munich, Germany
基金
芬兰科学院;
关键词
Privacy; random linear network coding (RLNC); reliability; private information retrieval (PIR); robustness; Byzantine; CODES;
D O I
10.1109/TIFS.2019.2928483
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
In this paper, the problem of providing privacy to users requesting data over a network from a distributed storage system (DSS) is considered. The DSS, which is considered as the multi-terminal destination of the network from the user's perspective, is encoded by a maximum rank distance (MRD) code to store the data on these multiple servers. A private information retrieval (PIR) scheme ensures that a user can request a file without revealing any information on which file is being requested to any of the servers. In this paper, a novel PIR scheme is proposed, allowing the user to recover a file from a storage system with low communication cost, while allowing some servers in the system to collude in the quest of revealing the identity of the requested file. The network is modeled as a random linear network, i.e., all nodes of the network forward random (unknown) linear combinations of incoming packets. Both error-free and erroneous random linear networks are considered.
引用
收藏
页码:790 / 799
页数:10
相关论文
共 50 条
  • [41] Private Information Retrieval in Distributed Storage Systems Using an Arbitrary Linear Code
    Kumar, Siddhartha
    Rosnes, Eirik
    Amat, Alexandre Graell I.
    2017 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT), 2017, : 1421 - 1425
  • [42] Achieving Maximum Distance Separable Private Information Retrieval Capacity With Linear Codes
    Kumar, Siddhartha
    Lin, Hsuan-Yin
    Rosnes, Eirik
    Graell i Amat, Alexandre
    IEEE TRANSACTIONS ON INFORMATION THEORY, 2019, 65 (07) : 4243 - 4273
  • [43] On the Information Leakage in Private Information Retrieval Systems
    Guo, Tao
    Zhou, Ruida
    Tian, Chao
    2020 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT), 2020, : 1018 - 1023
  • [44] On the Information Leakage in Private Information Retrieval Systems
    Guo, Tao
    Zhou, Ruida
    Tian, Chao
    IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2020, 15 (15) : 2999 - 3012
  • [45] Noisy Private Information Retrieval: On Separability of Channel Coding and Information Retrieval
    Banawan, Karim
    Ulukus, Sennur
    IEEE TRANSACTIONS ON INFORMATION THEORY, 2019, 65 (12) : 8232 - 8249
  • [46] On Single Server Private Information Retrieval With Private Coded Side Information
    Lu, Yuxiang
    Jafar, Syed A.
    IEEE TRANSACTIONS ON INFORMATION THEORY, 2023, 69 (05) : 3263 - 3284
  • [47] Private Information Retrieval with Private Side Information Under Storage Constraints
    Wei, Yi-Peng
    Ulukus, Sennur
    2018 IEEE INFORMATION THEORY WORKSHOP (ITW), 2018, : 345 - 349
  • [48] Multi-Message Private Information Retrieval with Private Side Information
    Shariatpanahi, Seyed Pooya
    Siavoshani, Mahdi Jafari
    Maddah-Ali, Mohammad Ali
    2018 IEEE INFORMATION THEORY WORKSHOP (ITW), 2018, : 335 - 339
  • [49] The Capacity of Private Information Retrieval With Partially Known Private Side Information
    Wei, Yi-Peng
    Banawan, Karim
    Ulukus, Sennur
    IEEE TRANSACTIONS ON INFORMATION THEORY, 2019, 65 (12) : 8222 - 8231
  • [50] The Capacity of T-Private Information Retrieval With Private Side Information
    Chen, Zhen
    Wang, Zhiying
    Jafar, Syed Ali
    IEEE TRANSACTIONS ON INFORMATION THEORY, 2020, 66 (08) : 4761 - 4773