Secure and Privacy-Preserving Database Services in the Cloud

被引:0
|
作者
Agrawal, Divyakant [1 ]
El Abbadi, Amr [1 ]
Wang, Shiyuan [1 ]
机构
[1] Univ Calif Santa Barbara, Dept Comp Sci, Santa Barbara, CA 93106 USA
来源
2013 IEEE 29TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE) | 2013年
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Cloud computing becomes a very successful paradigm for data computing and storage. Increasing concerns about data security and privacy in the cloud, however, have arisen. Ensuring security and privacy for data management and query processing in the cloud is critical for better and broader uses of the cloud. This tutorial covers recent research on cloud security and privacy, while focusing on the works that protect data confidentiality and query access privacy for sensitive data being stored and queried in the cloud. We provide a comprehensive study of state-of-the-art schemes and techniques for protecting data confidentiality and access privacy, and explain their tradeoffs in security, privacy, functionality and performance.
引用
收藏
页码:1268 / 1271
页数:4
相关论文
共 50 条
  • [41] Efficient and privacy-preserving location-based services over the cloud
    Vijay Kumar Yadav
    Shekhar Verma
    S. Venkatesan
    Cluster Computing, 2022, 25 : 3175 - 3192
  • [42] Attribute-Based Pseudonymity for Privacy-Preserving Authentication in Cloud Services
    Sucasas, Victor
    Mantas, Georgios
    Papaioannou, Maria
    Rodriguez, Jonathan
    IEEE TRANSACTIONS ON CLOUD COMPUTING, 2023, 11 (01) : 168 - 184
  • [43] SECRECSY: A Secure Framework for Enhanced Privacy-Preserving Location Recommendations in Cloud Environment
    Ravi, Logesh
    Subramaniyaswamy, V.
    Devarajan, Malathi
    Ravichandran, K. S.
    Arunkumar, S.
    Indragandhi, V.
    Vijayakumar, V.
    WIRELESS PERSONAL COMMUNICATIONS, 2019, 108 (03) : 1869 - 1907
  • [44] Efficient and privacy-preserving location-based services over the cloud
    Yadav, Vijay Kumar
    Verma, Shekhar
    Venkatesan, S.
    CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2022, 25 (05): : 3175 - 3192
  • [45] SECRECSY: A Secure Framework for Enhanced Privacy-Preserving Location Recommendations in Cloud Environment
    Logesh Ravi
    V. Subramaniyaswamy
    Malathi Devarajan
    K. S. Ravichandran
    S. Arunkumar
    V. Indragandhi
    V. Vijayakumar
    Wireless Personal Communications, 2019, 108 : 1869 - 1907
  • [46] Secure and privacy-preserving DRM scheme using homomorphic encryption in cloud computing
    Huang, Qin-Long
    Ma, Zhao-Feng
    Yang, Yi-Xian
    Fu, Jing-Yi
    Niu, Xin-Xin
    Journal of China Universities of Posts and Telecommunications, 2013, 20 (06): : 88 - 95
  • [47] Secure and privacy-preserving DRM scheme using homomorphic encryption in cloud computing
    HUANG Qin-long
    MA Zhao-feng
    YANG Yi-xian
    FU Jing-yi
    NIU Xin-xin
    The Journal of China Universities of Posts and Telecommunications, 2013, 20 (06) : 88 - 95
  • [48] Secure and privacy-preserving data sharing in the cloud based on lossless image coding
    Khelifi, Fouad
    Brahimi, Tahar
    Han, Jungong
    Li, Xuelong
    SIGNAL PROCESSING, 2018, 148 : 91 - 101
  • [49] A Cloud-based Secure and Privacy-Preserving Clustering Analysis of Infectious Disease
    Liu, Jianqing
    Hu, Yaodan
    Yue, Hao
    Gong, Yanmin
    Fang, Yuguang
    2018 IEEE SYMPOSIUM ON PRIVACY-AWARE COMPUTING (PAC), 2018, : 107 - 116
  • [50] PRIVACY-PRESERVING FOR A SECURE DATA STORAGE ON CLOUD USING PUBLIC AUDITING TECHNIQUE
    Suryawanshi, Akash Udaysinh
    Naveenkumar, J.
    IIOAB JOURNAL, 2018, 9 (02) : 111 - 115