A Lightweight Data Integrity Verification with Data Dynamics for Mobile Edge Computing

Haiyan Wang,Fu Xiao,Yi Lin,Xiaolong Xu

doi:10.1155/2022/1870779

Abstract

As a special scenario of mobile cloud computing, mobile edge computing can meet the requirements of low latency of data integrity verification and support of mobility in mobile scenarios. However, most existing data integrity verification methods have relatively large computational overhead and few considerations of data dynamic update. To address the above problems, we propose a lightweight data integrity verification method that can support data dynamics in mobile edge computing scenarios. The proposed method is based on an algebraic signature and data integrity verification framework, which ensures security and reduces the computational overhead to achieve the requirement of lightweight. On this basis, analysis and proof of the feasibility, security, and privacy are given. At the same time, in order to support the dynamic update of the data, an optimized strategy based on matrix index is designed with low overhead. In comparison with other baseline methods, simulation experiments show that our method is superior in terms of computational overhead and has good performance in supporting data dynamics.

Highlights

With the development of cloud computing, mobile edge computing (MEC) has been proposed as a special scenario of mobile cloud computing (MCC), which plays an important role in mobile scenarios with low service latency [1, 2]
When verifying the integrity of data stored on remote servers, MEC can provide lower service latency and support mobility, which is more appropriate for data integrity verification in mobile scenarios than MCC
To solve the above problems, based on our previous work, combined with mobile edge computing and data integrity verification, we propose a lightweight data integrity verification method supporting data dynamics in a mobile edge computing scenario. e method can take into account both security and computing overhead to achieve lightweight requirements

Summary

Introduction

With the development of cloud computing, mobile edge computing (MEC) has been proposed as a special scenario of mobile cloud computing (MCC), which plays an important role in mobile scenarios with low service latency [1, 2]. When verifying the integrity of data stored on remote servers, MEC can provide lower service latency and support mobility, which is more appropriate for data integrity verification in mobile scenarios than MCC. Erefore, data integrity verification in mobile scenarios to meet the rapidly growing needs of low latency, low computing overhead, and support for mobility has important research significance. Venkatesh et al [9] considered using homomorphic encryption technology based on RSA signatures for integrity verification, but this method requires a lot of computational overhead. On this basis, Ateniese et al [10] proposed a probabilistic verification method using message authentication codes to reduce communication overhead. Wang et al [12] considered the characteristics of the Merkle hash tree and proposed using the Merkle hash tree to verify the correctness of the data block

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Conclusion