支持 MEC 的电子商务联盟区块链中高效安全的隐私保护方案和共识机制

Guangshun Li, Haoyang Wu, Junhua Wu, Zhenqiang Li
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引用次数: 0

摘要

区块链技术在电子商务领域的应用,解决了交易透明度低、数据安全存在隐患、支付成本高等诸多困境。移动边缘计算(MEC)可以为区块链提供计算能力,满足电子商务交易系统高实时性、低延迟的需求。然而,支持MEC的电子商务联盟区块链仍存在一些制约因素,如用户隐私信息泄露、共识算法安全性低等安全问题。本文提出了一种适用于支持 MEC 的电子商务联盟区块链的安全交易模型,旨在保证系统交易处理效率的同时,提高用户隐私信息和交易数据的安全性。该模型采用轻量级的Paillier加密算法保护用户隐私信息和交易数据的安全,防止用户隐私信息泄露,并通过引入shamir秘密共享协议优化了Raft共识算法中领导者选举阶段的安全性,提高了Raft共识算法的抗拜占庭失效能力。本文提出的方案通过实验仿真证明了其有效性。
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Efficient and secure privacy protection scheme and consensus mechanism in MEC enabled e-commerce consortium blockchain
The application of blockchain technology to the field of e-commerce has solved many dilemmas, such as low transparency of transactions, hidden risks of data security and high payment costs. Mobile edge computing(MEC) can provide computational power for blockchain, and can meet the demand for high real-time and low latency in e-commerce transaction systems. However, there are still some constraints in the MEC enabled e-commerce consortium blockchain, such as the leakage of user privacy information, low security of consensus algorithm and other security issues. In this paper, we propose a secure transaction model suitable for MEC enabled e-commerce consortium blockchain, aiming to ensure the efficiency of system transaction processing while improving the security of users’ privacy information and transaction data. The model adopts the lightweight Paillier encryption algorithm to protect the security of user privacy information and transaction data to prevent the leakage of user privacy information, and optimizes the security of leader election phase of Raft consensus algorithm by introducing the shamir secret sharing protocol to improve the anti-Byzantine failure capabilities of Raft consensus algorithm. The effectiveness of the scheme proposed in this paper is demonstrated by experimental simulations.
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