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首页> 外文期刊>International journal of information security and privacy >A Reliable Data Provenance and Privacy Preservation Architecture for Business-Driven Cyber-Physical Systems Using Blockchain
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A Reliable Data Provenance and Privacy Preservation Architecture for Business-Driven Cyber-Physical Systems Using Blockchain

机译:使用区块链的业务驱动网络物理系统的可靠数据来源和隐私保护架构

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摘要

Cyber-physical systems (CPS) including power systems, transportation, industrial control systems, etc. support both advanced control and communications among system components. Frequent data operations could introduce random failures and malicious attacks or even bring down the whole system. The dependency on a central authority increases the risk of single point of failure. To establish an immutable data provenance scheme for CPS, the authors adopt blockchain and propose a decentralized architecture to assure data integrity. In business-driven CPS, end users are required to share their personal information with multiple third parties. To prevent data leakage and preserve user privacy, the authors isolate and feed different information retrieval requests using tokens specifically generated for each type of request. Providing both traceability of data operations, and unlinkability of end user activities, a robust blockchain-based CPS is prototyped. Evaluation indicates the architecture is capable of assured data provenance validation and user privacy preservation at a low overhead.
机译:网络物理系统(CPS)包括电力系统,运输,工业控制系统等,支持高级控制和系统组件之间的通信。频繁的数据操作可能导致随机故障和恶意攻击,甚至导致整个系统瘫痪。对中央机构的依赖性增加了单点故障的风险。为了建立CPS的不变数据出处方案,作者采用了区块链并提出了一种去中心化架构来确保数据完整性。在业务驱动的CPS中,最终用户需要与多个第三方共享其个人信息。为了防止数据泄漏并保护用户隐私,作者使用专门为每种请求类型生成的令牌来隔离和提供不同的信息检索请求。提供数据操作的可追溯性和最终用户活动的不可链接性,构建了基于健壮的基于区块链的CPS。评估表明,该体系结构能够以较低的开销确保数据源验证和用户隐私保护。

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