Efficient Verification of Edge Data Integrity in Edge Computing Environment
Date
2022
Authors
Cui, G.
He, Q.
Li, B.
Xia, X.
Chen, F.
Jin, H.
Xiang, Y.
Yang, Y.
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Journal article
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IEEE Transactions on Services Computing, 2022; 15(6):3233-3244
Statement of Responsibility
Guangming Cui, Qiang He, Bo Li, Xiaoyu Xia, Feifei Chen, Hai Jin, Yang Xiang, and Yun Yang
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Abstract
Edge computing, as a new computing paradigm that extends cloud computing, allows a service vendor to deploy its services on distributed edge servers to serve its service users in close geographic proximity to those edge servers. Caching edge data on edge servers can minimize service users data retrieval latency. However, such edge data are subject to intentional and accidental corruption in the highly distributed and dynamic edge computing environment. Verifying the integrity of service vendors edge data accurately and efficiently is a critical security problem. Given a potentially large number of edge servers and their limited computing capacities, verifying the integrity of the edge data on each edge server individually is computation expensive. In this paper, we make the first attempt to tackle this Edge Data Integrity (EDI) problem from the service vendors perspective by proposing an inspection and corruption localization scheme for EDI named ICL-EDI. This scheme allows a service vendor to inspect its edge data and localize corrupted edge data on multiple edge servers accurately and efficiently. To evaluate its performance, we implement ICL-EDI and conduct extensive experiments to demonstrate its effectiveness and efficiency.
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© 2021 IEEE.