An Edge Cloud Data Integrity Protection Scheme Based on Blockchain

Abstract

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.

Transforming data‐intensive workflows: A cutting‐edge multi‐layer security and quality aware security framework

“…Proposed an energy-minimized offloading mechanism for fault tolerance in the edge-cloud computing paradigm. 4. Presented security metrics as one of the QoS alongside energy and makespan minimization.…”

“…The provision of protection against unauthorized access to the information stored on the server and several other security concerns, such as data leakage and integrity annihilation, is required in Reference 4. These three components work together to achieve trustworthy verification without a trusted third party.…”

“…2 In workflow task scheduling, intermediate data is constantly transferred between virtual machines between the edge server and the cloud environment. As a result, there is a greater risk of intermediate data being targeted via node and link attacks; as a result, edge-cloud platform availability [3][4][5] must be guaranteed. However, providing security to workflow execution in an edge-cloud platform is difficult, 6 requiring QoS such as reduced time and energy consumption and significant dependencies between sub-tasks.…”

A Systematic Mapping review to Remote Data Integrity Verification Systems for Cloud Computing

“…Springer: An broad database containing scientific writing, such as journals, books, and conference proceedings. This database is distributed by Elsevier [9].…”

An overview of the application and development of data integrity verification techniques

“…The protocol allows for optimized structure, privacy protection and effective aggregation verification functions. He [5] et al proposed a blockchain-based T-Merkle tree-based integrity verification scheme for large-scale cloud data, which can effectively improve the data storage rate and support binary search within blocks, and proposed a ZSSbased data integrity verification method with short signatures .Duan [6] et al proposed a blockchain-based data integrity verification protocol to achieve trusted verification without relying on third parties .Zhou [7] et al proposed a scalable blockchain data integrity verification scheme. The scheme is based on ZSS short signatures to build scalable homomorphic verification tags and uses smart contracts to complete data integrity verification, which not only avoids the risk of leakage but also resists malicious attacks.…”