Efficient Verification of Edge Data Integrity in Edge Computing Environment

• Published in: IEEE transactions on services computing Vol. 15; no. 6; pp. 3233 - 3244
• Main Authors: Cui, Guangming, He, Qiang, Li, Bo, Xia, Xiaoyu, Chen, Feifei, Jin, Hai, Xiang, Yang, Yang, Yun
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.11.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Cloud computing; Corruption; Data integrity; Distributed databases; Edge computing; Edge data integrity; Inspection; Integrity; Location awareness; privacy-protection; Servers; service vendor; Social networking (online)
• ISSN: 1939-1374; 2372-0204
• DOI: 10.1109/TSC.2021.3090173

The new edge computing paradigm extends cloud computing by allowing service vendors to deploy their service instances and data on distributed edge servers to serve their service users in close geographic proximity to those edge servers. Caching edge data on edge servers profoundly reduces the retrieval latency perceived by users. However, these edge data are subject to corruption due to intentional and/or accidental exceptions. This is a major challenge for service vendors but has been overlooked. Thus, verifying the integrity of edge data accurately and efficiently is a critical security problem in the edge computing environment. A unique characteristic of the edge computing environment is that edge servers suffer from constrained computing capacities. Thus, verifying data integrity on massive edge servers individually is computationally expensive and impractical. In this paper, we tackle this Edge Data Integrity (EDI) problem with an inspection and corruption localization scheme for EDI named ICL-EDI. This scheme allows service vendors to inspect data integrity and localize corrupted edge data cached 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.