Context-aware Verifiable Cloud Computing

Zheng Yan*, Xixun Yu, Wenxiu Ding

*Corresponding author for this work

    Research output: Contribution to journalArticleScientificpeer-review

    21 Citations (Scopus)
    168 Downloads (Pure)


    Internet of Things (IoTs) has emerged to motivate various intelligent applications based on the data collected by various 'things.' Cloud computing plays an important role for big data processing by providing data computing and processing services. However, cloud service providers may invade data privacy and provide inaccurate data processing results to users, and thus cannot be fully trusted. On the other hand, limited by computation resources and capabilities, cloud users mostly cannot independently process big data and perform verification on the correctness of data processing. This raises a special challenge on cloud computing verification, especially when user data are stored at the cloud in an encrypted form and processed for satisfying the requests raised in different contexts. But the current literature still lacks serious studies on this research issue. In this paper, we propose a context-aware verifiable computing scheme based on full homomorphic encryption by deploying an auditing protocol to verify the correctness of the encrypted data processing result. We design four optional auditing protocols to satisfy different security requirements. Their performance is evaluated and compared through performance analysis, algorithm implementation, and system simulation. The results show the effectiveness and efficiency of our designs. The pros and cons of all protocols are also analyzed and discussed based on rigorous comparison.

    Original languageEnglish
    Article number7849191
    Pages (from-to)2211-2227
    Number of pages17
    JournalIEEE Access
    Publication statusPublished - 2017
    MoE publication typeA1 Journal article-refereed


    • Cloud computing
    • Full homomorphic encryption
    • Privacy protection
    • Verifiable cloud computing


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