Paper Info
Title
Attribute-Based User Revocable Data Integrity Audit for Internet-of-Things Devices in Cloud Storage
Abstract
Mobile crowdsensing (MCS) is a sensing paradigm exploiting the capabilities of mobile devices (Internet-of-Things devices, smartphones, etc.) to gather large volume of data. MCS has been widely used in cloud storage environment. However, MCS often faces the challenge of data integrity and user revocation issues. To solve these challenges, this paper uses attribute-based revocable signature mechanisms to construct a data integrity auditing scheme for IoT devices in the cloud storage environment. Users use attribute private keys to generate attribute signatures, and limit the user's permission to use shared data through access policy control. Only when the user attribute is included in the global attribute set, and the attribute threshold is not less than the specified number, the user can use the attribute key for the data to generate a valid signature that can be authenticated under the control of the signature strategy. At the same time, the group manager (GM) can send secret information to a third-party auditor (TPA) to track the creator of the signature, to withdraw the user's access to data when the business changes, and realize the safe revocation of user group membership. Formal security analysis and experimental results show that the proposed data-auditing solution is suitable for IoT devices in the cloud storage environment with respect to security and performance.
Year
DOI
Venue
2020
10.1155/2020/8837456
SECURITY AND COMMUNICATION NETWORKS
DocType
Volume
ISSN
Journal
2020.0
1939-0114
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Yaowei Wang113429.62
Chen Chen2466.93
Zhenwei Chen321.05
Jiangyong He400.34