随机预言
计算机科学
加密
云计算
甲骨文公司
计算机安全
方案(数学)
知情人
关键字搜索
理论计算机科学
情报检索
公钥密码术
操作系统
软件工程
数学分析
数学
法学
政治学
作者
Fucai Luo,Haiyan Wang,Changlu Lin,Xingfu Yan
标识
DOI:10.1109/tifs.2023.3301740
摘要
The widespread adoption of cloud computing and the exponential growth of data highlight the need for secure data sharing and querying. Attribute-based keyword search (ABKS) has emerged as an efficient means of searching encrypted data stored in the cloud. However, existing ABKS schemes incur high end-to-end delay and are vulnerable to quantum computer attacks and/or (insider) keyword guessing attacks (KGA). To address these vulnerabilities, this paper introduces a new concept called attribute-based authenticated encryption with keyword search (ABAEKS) and proposes an efficient ABAEKS scheme. Our ABAEKS has low end-to-end delay, and is resistant to both quantum computer attacks and (insider) KGA. In addition, we formalize the security model of ABAEKS system and prove its security in the random oracle model. Finally, we conduct a comprehensive performance evaluation of ABAEKS, and the experimental results show that our ABAEKS is computationally efficient and outperforms current state-of-the-art ABKS schemes.
科研通智能强力驱动
Strongly Powered by AbleSci AI