移动边缘计算中基于区块链的数据隐私保护模式

Junhua Wu, Xiangmei Bu, Guangshun Li, Guangwei Tian
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引用次数: 0

摘要

移动边缘计算(MEC)技术被广泛用于实时和带宽密集型服务,但其底层异构架构可能导致各种安全和隐私问题。区块链为 MEC 中的数据安全和隐私保护提供了新的解决方案。然而,传统区块链的可扩展性难以满足实时数据处理的要求,共识机制也不适合资源受限的设备。此外,MEC 数据的访问控制也有待进一步改进。鉴于上述问题,本文设计了一种基于分片区块链和访问控制的数据隐私保护模型。首先,设计了一个基于分片区块链的隐私保护平台。提出了声誉计算和改进的工作证明(PoW)共识机制,以适应资源受限的边缘设备。设计了奖惩激励机制来约束节点行为。此外,还提出了一种奖励分配算法,以鼓励节点为获得更多奖励做出积极贡献。其次,设计了一种使用基于密文策略属性加密(CP-ABE)和 RSA 的访问控制策略。通过部署智能合约来实现自动访问控制功能。此外,还引入了 InterPlanetary File System 来减轻区块链的存储负担。最后,我们分析了所提出的隐私保护模型的安全性,并统计了访问控制策略所消耗的 GAS。实验结果表明,所提出的数据隐私保护模型实现了对访问权限的细粒度控制,与传统区块链相比,具有更高的吞吐量和安全性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data privacy protection model based on blockchain in mobile edge computing
Mobile edge computing (MEC) technology is widely used for real‐time and bandwidth‐intensive services, but its underlying heterogeneous architecture may lead to a variety of security and privacy issues. Blockchain provides novel solutions for data security and privacy protection in MEC. However, the scalability of traditional blockchain is difficult to meet the requirements of real‐time data processing, and the consensus mechanism is not suitable for resource‐constrained devices. Moreover, the access control of MEC data needs to be further improved. Given the above problems, a data privacy protection model based on sharding blockchain and access control is designed in this paper. First, a privacy‐preserving platform based on a sharding blockchain is designed. Reputation calculation and improved Proof‐of‐Work (PoW) consensus mechanism are proposed to accommodate resource‐constrained edge devices. The incentive mechanism with rewards and punishments is designed to constrain node behavior. A reward allocation algorithm is proposed to encourage nodes to actively contribute to obtaining more rewards. Second, an access control strategy using ciphertext policy attribute‐based encryption (CP‐ABE) and RSA is designed. A smart contract is deployed to implement the automatic access control function. The InterPlanetary File System is introduced to alleviate the blockchain storage burden. Finally, we analyze the security of the proposed privacy protection model and statistics of the GAS consumed by the access control policy. The experimental results show that the proposed data privacy protection model achieves fine‐grained control of access rights, and has higher throughput and security than traditional blockchain.
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