Multiple Edge Data Integrity Verification With Multi-Vendors and Multi-Servers in Mobile Edge Computing

Ensuring Edge Data Integrity (EDI) is imperative in providing reliable and low-latency services in mobile edge computing. Existing EDI schemes typically address single-vendor (App Vendor, AV) single-server (Edge Server, ES), single-vendor multi-server, and multi-vendor multi-server scenarios, which consider a single data replica cached by an ES from the AVs. However, the most practical scenario of Multi-Vendors and Multi-Servers with Multiple Data (MVMS-MD) cached by an ES from different AVs remains unexplored. Current solutions struggle when applied to this scenario due to increased computation and communication costs in the verification process across all ESs using the classical <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">challenge-response per-data multi-round</i> strategy. To tackle this issue, we propose a Multiple EDI-Verification (MEDI-V) approach in this paper. In particular, our MEDI-V utilizes an adaptive Merkle Hash Tree (ad-MHT) to efficiently generate a tree of multiple data replicas within each AV. Next, the dynamic mechanism computes minimal verification information using ad-MHT to create a <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">challenge</i> for individual ESs to produce EDI proofs. The ES then leverages its ad-MHT and the ES's proof to send the reconstructed ad-MHT root to the AV for verification. Theoretical insights into MEDI-V's correctness, efficiency, security, and comprehensive evaluations demonstrate its superiority in addressing MEDI issues in the MVMS-MD scenario.

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Publication Details

Journal
IEEE Transactions on Mobile Computing
Published
2025-01-10
DOI
https://doi.org/10.1109/tmc.2025.3528016
Citations
4
Primary Topic
Cloud Data Security Solutions
Type
article
Field-Weighted Citation Impact
12.98
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article

Multiple Edge Data Integrity Verification With Multi-Vendors and Multi-Servers in Mobile Edge Computing

Md Palash Uddin, Longxiang Gao, Yao Zhao, Yong Xiang et al.
4 citations
IEEE Transactions on Mobile Computing
Cloud Data Security Solutions
12.98
article

Multiple Edge Data Integrity Verification With Multi-Vendors and Multi-Servers in Mobile Edge Computing

Md Palash Uddin, Longxiang Gao, Yao Zhao, Yong Xiang, Md. Rashedul Islam, Jonathan Kua
article en
4 citations

Abstract

Ensuring Edge Data Integrity (EDI) is imperative in providing reliable and low-latency services in mobile edge computing. Existing EDI schemes typically address single-vendor (App Vendor, AV) single-server (Edge Server, ES), single-vendor multi-server, and multi-vendor multi-server scenarios, which consider a single data replica cached by an ES from the AVs. However, the most practical scenario of Multi-Vendors and Multi-Servers with Multiple Data (MVMS-MD) cached by an ES from different AVs remains unexplored. Current solutions struggle when applied to this scenario due to increased computation and communication costs in the verification process across all ESs using the classical <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">challenge-response per-data multi-round</i> strategy. To tackle this issue, we propose a Multiple EDI-Verification (MEDI-V) approach in this paper. In particular, our MEDI-V utilizes an adaptive Merkle Hash Tree (ad-MHT) to efficiently generate a tree of multiple data replicas within each AV. Next, the dynamic mechanism computes minimal verification information using ad-MHT to create a <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">challenge</i> for individual ESs to produce EDI proofs. The ES then leverages its ad-MHT and the ES's proof to send the reconstructed ad-MHT root to the AV for verification. Theoretical insights into MEDI-V's correctness, efficiency, security, and comprehensive evaluations demonstrate its superiority in addressing MEDI issues in the MVMS-MD scenario.

IEEE Transactions on Mobile ComputingVol. 24(6)
Deakin University (AU), Qilu University of Technology (CN), Shandong University (CN), Shandong Academy of Sciences (CN)
Openalex Percentile: Top 2%
Cloud Data Security Solutions
12.98
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