An Approach for Searching on Encrypted Data Based on Bloom Filter

被引:1
|
作者
Yao Hanbing [1 ]
Xiang Dong [1 ]
Peng Dewei [1 ]
Huang Jing [1 ]
机构
[1] Wuhan Univ Technol, Sch Comp Sci & Technol, Wuhan 430070, Peoples R China
关键词
Bloom Filter; Encrypted Data; Hash Function;
D O I
10.1109/DCABES.2012.40
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
It is desirable to store data on data storage servers such as file servers in encrypted form to reduce security risks. But this usually implies that one has to sacrifice functionality for security. For example, if a client wishes to retrieve only documents containing certain words, it was not previously known how to let the data storage server perform the search and answer the query without loss of data confidentiality. In this paper, we describe our schemes for the problem of searching on encrypted data based on Bloom Filter. Our schemes have a number of crucial advantages: The untrusted server cannot learn anything about the plaintext when only given the ciphertext in our solution. Our schemes provide query isolation for searches, meaning that the untrusted server cannot learn anything more about the plaintext than the search result. The algorithms we present are simple, fast, and introduce almost no space and communication overhead.
引用
收藏
页码:301 / 304
页数:4
相关论文
共 50 条
  • [1] Encrypted Data Retrieval Scheme Based on Bloom Filter
    Mu, Yicheng
    Yao, Hanbing
    [J]. 2019 18TH INTERNATIONAL SYMPOSIUM ON DISTRIBUTED COMPUTING AND APPLICATIONS FOR BUSINESS ENGINEERING AND SCIENCE (DCABES 2019), 2019, : 249 - 252
  • [2] Efficient Search on Encrypted Data Using Bloom Filter
    Pal, Saibal K.
    Sardana, Puneet
    Sardana, Ankita
    [J]. 2014 INTERNATIONAL CONFERENCE ON COMPUTING FOR SUSTAINABLE GLOBAL DEVELOPMENT (INDIACOM), 2014, : 412 - 416
  • [3] Verification of Boolean Queries over Outsourced Encrypted Data Based on Counting Bloom Filter
    Zhu, Xiaoyan
    Hao, Ripei
    Jiang, Shunrong
    Chi, Haotian
    Li, Hongning
    [J]. 2015 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2015,
  • [4] Dynamic Multi-Keyword Ranked Search Based on Bloom Filter Over Encrypted Cloud Data
    Guo, Cheng
    Zhuang, Ruhan
    Chang, Chin-Chen
    Yuan, Qiongqiong
    [J]. IEEE ACCESS, 2019, 7 : 35826 - 35837
  • [5] A FHE-based Evaluation for Searching on Encrypted Data
    Togan, Mihai
    [J]. 2016 INTERNATIONAL CONFERENCE ON COMMUNICATIONS (COMM 2016), 2016, : 291 - 296
  • [6] Privacy-Preserving Bloom Filter-Based Keyword Search Over Large Encrypted Cloud Data
    Liang, Yanrong
    Ma, Jianfeng
    Miao, Yinbin
    Kuang, Da
    Meng, Xiangdong
    Deng, Robert H.
    [J]. IEEE TRANSACTIONS ON COMPUTERS, 2023, 72 (11) : 3086 - 3098
  • [7] Searching Keywords with Wildcards on Encrypted Data
    Sedghi, Saeed
    van Liesdonk, Peter
    Nikova, Svetla
    Hartel, Pieter
    Jonker, Willem
    [J]. SECURITY AND CRYPTOGRAPHY FOR NETWORKS, 2010, 6280 : 138 - +
  • [8] A Bloom Filter-Based Data Deduplication for Big Data
    Podder, Shrayasi
    Mukherjee, S.
    [J]. ADVANCES IN DATA AND INFORMATION SCIENCES, VOL 1, 2018, 38 : 161 - 168
  • [9] Bloom Filter Approach for Autonomous Data Acquisition in the Edge-Based MCS Scenario
    Antonic, Martina
    Antonic, Aleksandar
    Zarko, Ivana Podnar
    [J]. SENSORS, 2022, 22 (03)
  • [10] A Partition Based Bloom Filter For Fastest Data Search
    Pandeeswari, P.
    Murugeswari, S.
    [J]. PROCEEDINGS OF 2016 INTERNATIONAL CONFERENCE ON ADVANCED COMMUNICATION CONTROL AND COMPUTING TECHNOLOGIES (ICACCCT), 2016, : 294 - 297