Privacy-Preserving Data Integrity Verification in Mobile Edge Computing

Wei, Tong; Jiang, Bingbing; Xu, Fengyuan; Li, Qun

doi:10.1109/icdcs.2019.00104

Cited by 33 publications

(12 citation statements)

References 29 publications

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“…Tong et al [32] proposed two integrity checking protocols for mobile edge computing, checking the data integrity at the edge based on the concept of provable data ownership and proprietary information retrieval techniques. Liu et al [33] modeled data failures by classifying them into format failures, time series failures, and value failures and proposed several heuristic rules for the detection and isolation of data failures.…”

Section: Related Workmentioning

confidence: 99%

An Edge Cloud Data Integrity Protection Scheme Based on Blockchain

Duan

Jiang

et al. 2022

Security and Communication Networks

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The publicly accessible feature of edge servers leads to the threat of malicious access to the data stored on the server and a series of security problems such as the leakage of user data privacy and the destruction of integrity. Data custody causes the separation of user ownership and management rights and brings potential security risks of data theft and destruction. Among them, for the integrity of the data uploaded by the terminal, the current protection mechanism mostly verifies the identity of the visitor or encrypts the data, but the role of verification is mostly assumed by the server, and it is impossible to avoid the collusion of edge servers with malicious intruders. In this paper, a distributed virtual machine agent (VMA) is designed and implemented, an edge cloud data integrity monitoring framework is built, and the verification protocol based on blockchain is proposed, which achieves trusted verification without relying on a trusted third party. Also, a prototype system of edge cloud data integrity protection based on blockchain is constructed to prevent data corruption. The results of security proof and experimental verification show that the mechanism based on blockchain technology can defend against three attacks of cloud service providers, has superior computation, and reduces the storage costs to protect the integrity of user data.

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Section: Related Workmentioning

confidence: 99%

An Edge Cloud Data Integrity Protection Scheme Based on Blockchain

Duan

Jiang

et al. 2022

Security and Communication Networks

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“…In recent years, the security issues of MEC have also attracted some attention. For example, Tong et al [19] first studied the data integrity verification of mobile edge computing. ey proposed two methods, which are suitable for users who want to verify the integrity of unilateral or multilateral data.…”

Section: Mobile Edgementioning

confidence: 99%

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

Wang

Lin

Xiao

2022

Security and Communication Networks

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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.

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“…Recently, some research has aimed at auditing the integrity of data in edge computing 33–37 . Wang et al 33 researched the balance between privacy and data integrity in edge‐assisted internet of things, but they did not solve the issues raised in our challenges.…”

Section: Related Workmentioning

confidence: 99%

“…Wang et al 33 researched the balance between privacy and data integrity in edge‐assisted internet of things, but they did not solve the issues raised in our challenges. Tong et al 34 proposed to check data integrity on a single edge or multiple edges. Liu et al 35 proposed an efficient data integrity auditing in edge computing, however, their work is still based on the existence of trusted TPA.…”

Section: Related Workmentioning

confidence: 99%

Trusted audit with untrusted auditors: A decentralized data integrity Crowdauditing approach based on blockchain

Chen

Zhou

et al. 2021

Int J of Intelligent Sys

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Edge computing emerges as an alternative to cloud computing in the scenarios where the end devices require lower latency and faster access speeds. Edge nodes are deployed at the proximity of the end devices to reduce response time. On the other hand, the edge nodes are usually owned by small organizations that have limited operations and maintenance capabilities. Data on the edge may be easily damaged, due to external attacks or internal hardware failures. Therefore, it is essential to verify data integrity in edge computing. However, edge environment requires a different trust model compared with other computing and storage paradigm. Besides, compared with cloud storage, edge storage is decentralized and storage service participants may pose greater internal and external threats. This paper proposes a blockchain‐based intelligent crowdsourcing audit approach (Crowdauditing) to achieve on‐chain and off‐chain credibility of audit results. The model relies on an untrusted auditor committee from the crowd to audit data integrity and uses smart contracts as the core of the intelligent system to ensure the reliability of result submission, the accuracy of the result judgment, and reasonable punishments and rewards. Specifically, an unbiased selection algorithm is proposed to achieve fairness during the auditor committee construction. An innovative two‐stage submission strategy is proposed to ensure that the auditor committee can reach a consensus on the off‐chain audit results. An incentive mechanism is carefully designed to force auditors providing audit services honestly to maximize their own rewards. Moreover, we modeled that as a game of n players, which proves the reliability of the result. Finally, we implement a prototype of Crowdauditing based on smart contracts. The extensive experimental results demonstrate the effectiveness of Crowdauditing.

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Privacy-Preserving Data Integrity Verification in Mobile Edge Computing

Cited by 33 publications

References 29 publications

An Edge Cloud Data Integrity Protection Scheme Based on Blockchain

An Edge Cloud Data Integrity Protection Scheme Based on Blockchain

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

Trusted audit with untrusted auditors: A decentralized data integrity Crowdauditing approach based on blockchain

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