云计算
可追溯性
计算机科学
一致性(知识库)
审计
数据一致性
计算机安全
云存储
数据完整性
付款
数据共享
数据库
万维网
会计
软件工程
业务
操作系统
人工智能
病理
替代医学
医学
作者
Saiyu Qi,Wei Wei,Jingxian Cheng,Yuanqing Zheng,Zhou Su,Jingning Zhang,Yong Qi
出处
期刊:ACM Transactions on Sensor Networks
[Association for Computing Machinery]
日期:2022-05-05
卷期号:18 (4): 1-24
被引量:2
摘要
Cloud computing is an essential technique to provide item traceability for industrial internet of things (IIoT) systems by providing item data sharing services. However, a malicious cloud server may prevent industrial participants from acquiring accurate traceability of items by providing inconsistent item data. To fix this issue, we propose Acics, an item data consistency auditing scheme in untrusted cloud services for cloud-aided IIoT systems. Acics presents two variants named S-Acics and L-Acics. S-Acics enables industrial participants to audit item data consistency for each item and circularly play the auditing role. L-Acics further enables industrial participants to audit item data consistency for a sampled subset of items while resisting data selection attack via a new separated storage mechanism. Finally, Acics integrates a fair payment mechanism built on smart contract to incentivize the cloud server to provide consistent item data access service for industrial participants. The experiment results show that our solution can audit item data consistency with reasonable cost.
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