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Secure Edge Data Auditing with Multiple Vendors and Servers

  • Zifeng Qin,   
  • Haojun Miao,   
  • Fei Chen *

Received: 04 Aug 2025 | Revised: 28 Sep 2025 | Accepted: 10 Oct 2025 | Published: 22 Oct 2025

Abstract

Mobile Edge Computing (MEC) has emerged as a pivotal solution to reduce latency for latency-sensitive applications by deploying data closer to end-users. Ensuring data integrity in mobile edge computing environments has become increasingly critical. While existing research primarily focuses on Single-Vendor Multi-Server EDI (SVMS-EDI), practical MEC deployments often involve multiple application vendors (AVs) sharing edge servers. Unlike SVMS-EDI, multiple application vendors bring significant computation cost and communication cost. Moreover, in addition to the security model of SVMS-EDI problem, application vendors are not fully trusted under the Multi-Vendor Multi-Server (MVMS) scenario. Therefore, robust solutions tailored for MVMS-EDI are required. This paper introduces MVMS-HMAC, a novel scheme that combines HMAC-based verification with distributed ledger technology to address the MVMS-EDI problem efficiently and securely. The proposed solution effectively counters key threats such as cheating attacks from malicious AVs and forge, replace, and replay attacks from compromised edge servers. By incorporating selective auditing, MVMS-HMAC minimizes computation and communication overhead while maintaining strong security guarantees. Theoretical analysis and experimental evaluations demonstrate the scheme's correctness, security, and efficiency, outperforming existing approaches. The proposed scheme advances the field by providing a comprehensive problem model and security framework for MVMS-EDI, along with a practical scheme that enhances resistance to adversarial behaviors. The open-source implementation further facilitates community engagement and adoption.

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Qin, Z.; Miao, H.; Chen, F. Secure Edge Data Auditing with Multiple Vendors and Servers. Journal of Machine Learning and Information Security 2025, 1 (1), 3.
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