Multi-keyword privacy query for outsourced data in cloud environments

被引:0
|
作者
Jia, Qianqian [1 ]
Shi, Run-Hua [1 ]
Wang, Qingle [1 ,2 ]
Li, Huijie [1 ]
机构
[1] North China Elect Power Univ, Sch Control & Comp Engn, Beijing 102206, Peoples R China
[2] Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China
关键词
quantum computing; quantum privacy query; information-theoretical security; quantum security; SEARCHABLE ENCRYPTION; SCHEME; SECURE;
D O I
10.1360/SSPMA-2023-0187
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
This paper presents a quantum cryptography technology and proposes a practical quantum scheme designed to address the challenge of multi-keyword privacy queries in outsourced data. This scheme completes the privacy query by utilizing the secure two-party computing set similarity protocol, secure two-party quantum logic multiplication protocol, and quantum privacy query protocol that we developed. These mechanisms can ensure the security of data stored remotely in the cloud and preserve the privacy of the query condition. Both the secure two-party computing set similarity and quantum logic multiplication protocols achieve information-theoretical security with the assistance of a noncolluding quantum cloud. Moreover, the quantum privacy query protocol is designed to withstand quantum attacks, thereby ensuring the security within the proposed scheme is quantum secure. Furthermore, all basic protocols employ single photons as quantum resources, with the Toffoli gate representing the most complex operation and single-photon measurement constituting the required measurement. Therefore, this scheme is practical and feasible under existing technical conditions. Finally, we validated the accuracy and feasibility of the key links of this scheme on IBM's quantum system using Qiskit.
引用
收藏
页数:13
相关论文
共 50 条
  • [1] Privacy-preserving keyword query quantum scheme for outsourced data in cloud environments
    Jia, Qianqian
    Shi, Run-hua
    Li, Huijie
    [J]. PHYSICA SCRIPTA, 2024, 99 (09)
  • [2] Integrity Assurance Method of Multi-Keyword Query for Encrypted Outsourced Data
    Wang, Ling
    Ji, Shan
    Wang, Zhaokang
    Wang, Xiaowan
    Mohiuddin, Ghulam
    Ren, Yongjun
    [J]. INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2022, 34 (01): : 221 - 234
  • [3] Privacy-Preserving Multi-Keyword Fuzzy Search over Outsourced Encrypted Cloud Data
    Shi, Xiu-jin
    Yang, Ling-zhen
    [J]. COMPUTER SCIENCE AND TECHNOLOGY (CST2016), 2017, : 505 - 513
  • [4] Fuzzy Multi-Keyword Query on Encrypted Data in the Cloud
    Shi, Xiu-jin
    Hu, Sheng-ping
    [J]. 2016 4TH INTL CONF ON APPLIED COMPUTING AND INFORMATION TECHNOLOGY/3RD INTL CONF ON COMPUTATIONAL SCIENCE/INTELLIGENCE AND APPLIED INFORMATICS/1ST INTL CONF ON BIG DATA, CLOUD COMPUTING, DATA SCIENCE & ENGINEERING (ACIT-CSII-BCD), 2016, : 419 - 425
  • [5] A Cluster Based Multi-keyword Search on Outsourced Encrypted Cloud Data
    Handa, Rohit
    Challa, Rama Krishna
    [J]. 2015 2ND INTERNATIONAL CONFERENCE ON COMPUTING FOR SUSTAINABLE GLOBAL DEVELOPMENT (INDIACOM), 2015, : 115 - 120
  • [6] An Efficient Privacy-Preserving Ranked Multi-Keyword Retrieval for Multiple Data Owners in Outsourced Cloud
    Li, Dong
    Wu, Jiahui
    Le, Junqing
    Lu, Qingguo
    Liao, Xiaofeng
    Xiang, Tao
    [J]. IEEE TRANSACTIONS ON SERVICES COMPUTING, 2024, 17 (02) : 406 - 419
  • [7] Efficient Multi-Keyword Ranked Query on Encrypted Data in the Cloud
    Xu, Zhiyong
    Kang, Wansheng
    Li, Ruixuan
    Yow, KinChoong
    Xu, Cheng-Zhong
    [J]. PROCEEDINGS OF THE 2012 IEEE 18TH INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED SYSTEMS (ICPADS 2012), 2012, : 244 - 251
  • [8] Lightweight and Privacy-Preserving Multi-Keyword Search over Outsourced Data
    Zhao, Meng
    Liu, Lingang
    Ding, Yong
    Deng, Hua
    Liang, Hai
    Wang, Huiyong
    Wang, Yujue
    [J]. APPLIED SCIENCES-BASEL, 2023, 13 (05):
  • [9] Highly Efficient Indexing for Privacy-Preserving Multi-keyword Query over Encrypted Cloud Data
    Cheng, Fangquan
    Wang, Qian
    Zhang, Qianwen
    Peng, Zhiyong
    [J]. WEB-AGE INFORMATION MANAGEMENT, WAIM 2014, 2014, 8485 : 348 - 359
  • [10] Achieving Efficient and Privacy-Preserving Multi-Keyword Conjunctive Query Over Cloud
    Yin, Fan
    Zheng, Yandong
    Lu, Rongxing
    Tang, Xiaohu
    [J]. IEEE ACCESS, 2019, 7 : 165862 - 165872