文献类型：期刊文献

英文题名：Fast revocable attribute-based encryption with data integrity for Internet of Things

作者：Li, Yongjiao[1];Zhu, Liang[2];Deng, Yalin[1];Zhang, Qikun[3];Wang, Zhenlei[1];Cao, Zhu[4,5]

机构：[1]East China Univ Sci & Technol, Minist Educ, Key Lab Smart Mfg Energy Chem Proc, Shanghai 200237, Peoples R China;[2]East China Normal Univ, Software Engn Inst, Shanghai 200062, Peoples R China;[3]Zhengzhou Univ Light Ind, Sch Comp & Commun Engn, Zhengzhou 450002, Peoples R China;[4]Tongji Univ, Coll Elect & Informat Engn, Shanghai 201804, Peoples R China;[5]Tongji Univ, Shanghai Res Inst Intelligent Autonomous Syst, Shanghai 201210, Peoples R China

年份：2025

卷号：168

外文期刊名：JOURNAL OF SYSTEMS ARCHITECTURE

收录：;EI(收录号：20253619102860);WOS:【SCI-EXPANDED(收录号:WOS:001565944600001)】；

基金：This work is supported by the Natural Science Foundation of Shanghai (25ZR1402098), the startup fund from East China University of Science and Technology, China (YH0142234), the National Key Research and Development Program of China (2023YFB3307800), and the National Natural Science Foundation of China (Key Program: 62136003) .

语种：英文

外文关键词：Revocable attribute-based encryption; Data integrity; Adaptive security

摘要：Efficient and secure revocable attribute-based encryption (RABE) is vital for ensuring flexible and fine-grained access control and data sharing in cloud storage and outsourced data environments within the Internet of Things (IoT). However, current RABE schemes often struggle to achieve an optimal balance between efficiency, security, dynamic scalability, and other important features, which hampers their practical application. To overcome these limitations, we propose a fast RABE scheme with data integrity for IoT that achieves adaptive security with multiple challenge ciphertexts. Our scheme supports the revocation of authorized users and transfers the computationally heavy revocation processes to the cloud, thereby easing the computational burden on IoT devices. Moreover, it consistently guarantees the integrity and correctness of data. We have demonstrated its adaptive security within the defined security model with multiple challenge ciphertexts and optimized its performance. Experimental results indicate that our scheme provides better performance than existing solutions. Under the same access policy, our scheme reduces computational consumption by 7 to 9 times compared to previous schemes.