• 中国精品科技期刊
  • CCF推荐A类中文期刊
  • 计算领域高质量科技期刊T1类
Advanced Search
Zhang Honglei, Shi Yuliang, Zhang Shidong, Zhou Zhongmin, Cui Lizhen. A Privacy Protection Mechanism for Dynamic Data Based on Partition-Confusion[J]. Journal of Computer Research and Development, 2016, 53(11): 2454-2464. DOI: 10.7544/issn1000-1239.2016.20150553
Citation: Zhang Honglei, Shi Yuliang, Zhang Shidong, Zhou Zhongmin, Cui Lizhen. A Privacy Protection Mechanism for Dynamic Data Based on Partition-Confusion[J]. Journal of Computer Research and Development, 2016, 53(11): 2454-2464. DOI: 10.7544/issn1000-1239.2016.20150553

A Privacy Protection Mechanism for Dynamic Data Based on Partition-Confusion

More Information
  • Published Date: October 31, 2016
  • Under the cloud computing environment, the privacy protection in the plaintext state can be realized, by the partition-confusion-based privacy protection mechanism which effectively combines tenants personalized privacy protection requirements and application performance. However, as the multi-tenant applications continue to run, on the one hand, the insertion, deletion, modification and other business operations of the tenant data can affect the distribution of the underlying data storage, making the relationships between the chunks in a significant risk of leakage due to the uneven data distribution; on the other hand, the attacker can still analyze a part of private information by the operation log of every chunk and the snapshot of the corresponding data in the local time. In response to these challenges, the present paper proposes a dynamic data privacy protection mechanism for partition confusion on the basis of the tripartite security interaction model. This mechanism can cache the data newly inserted and modified by a trusted third party and then group and upload it under the proper conditions; retaining key fragmentation in the deletion operation can ensure the privacy of the deleted and remained data; the falsifying data collection mechanism can achieve lower consumption of resources storage and optimize the application performance. The experimental result proves that the dynamic data privacy protection mechanism proposed in this paper has better feasibility and practicality.
  • Related Articles

    [1]Xue Xin, Zhu Tianchen, Sun Qingyun, Zhou Haoyi, Li Jianxin. Efficient Subgraph Matching Algorithm with Graph Neural Network[J]. Journal of Computer Research and Development, 2025, 62(3): 694-708. DOI: 10.7544/issn1000-1239.202330732
    [2]Shang Jing, Wu Zhihui, Xiao Zhiwen, Zhang Yifei. Graph4Cache: A Graph Neural Network Model for Cache Prefetching[J]. Journal of Computer Research and Development, 2024, 61(8): 1945-1956. DOI: 10.7544/issn1000-1239.202440190
    [3]Zhang Tianming, Xu Yiheng, Cai Xinwei, Fan Jing. A Shortest Path Query Method over Temporal Graphs[J]. Journal of Computer Research and Development, 2022, 59(2): 362-375. DOI: 10.7544/issn1000-1239.20210893
    [4]Guo Fangfang, Wang Xinyue, Wang Huiqiang, Lü Hongwu, Hu Yibing, Wu Fang, Feng Guangsheng, Zhao Qian. A Dynamic Stain Analysis Method on Maximal Frequent Sub Graph Mining[J]. Journal of Computer Research and Development, 2020, 57(3): 631-638. DOI: 10.7544/issn1000-1239.2020.20180846
    [6]Lu Jianhua, Zhang Baili, Jiang Shan, Lu Ningyun, Wang Feifei. Selection-Verification-Filtering: An Iterative Subgraph Containment Query Processing Strategy[J]. Journal of Computer Research and Development, 2012, 49(10): 2221-2228.
    [7]Ou Xiaoping, Wang Chaokun, Peng Zhuo, Qiu Ping, and Bai Yiyuan. A Graph-Based Music Data Model and Query Language[J]. Journal of Computer Research and Development, 2011, 48(10): 1879-1889.
    [8]Zhang Xu, He Xiangnan, Jin Cheqing, and Zhou Aoying. Processing k-Nearest Neighbors Query over Uncertain Graphs[J]. Journal of Computer Research and Development, 2011, 48(10): 1871-1878.
    [9]Zhang Lin, Zhang Li. Software Superfamilies Based on Sub-Graph Significance Profile[J]. Journal of Computer Research and Development, 2011, 48(2): 251-258.
    [10]Li Zhoujun, Chen Yiming, Liu Junwan, Chen Huowang. A Survey of Computational Method in Protein-Protein Interaction Research[J]. Journal of Computer Research and Development, 2008, 45(12): 2129-2137.

Catalog

    Article views (1298) PDF downloads (583) Cited by()

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return