为移动云计算提供具有恒定大小密码文本的分层双边访问控制

IF 5.3 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS IEEE Transactions on Cloud Computing Pub Date : 2024-04-08 DOI:10.1109/TCC.2024.3386126
Axin Wu;Yinghui Zhang;Jianhao Zhu;Qiuxia Zhao;Yu Zhang
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引用次数: 0

摘要

移动云计算(MCC)整合了移动网络和云计算的优势,使用户可以不受时间和地点的限制,享受个性化服务。这在带来便利的同时,也带来了隐私泄露和未经授权访问外包数据等风险。双边访问控制是解决这些问题的一种有前途的技术。然而,目前的双边访问控制方案无法解决单点故障等问题。为了进一步增强和丰富现有方案,我们提出了分层双边访问控制。在提出的方案中,生成加密密钥和解密密钥的权限可以下放给子节点,从而减轻了父节点的计算和通信开销,削弱了单点故障的潜在风险。此外,密文大小保持不变,降低了传输和存储密文的成本,缓解了设备的资源限制。然后,我们证明了该方案在随机甲骨文模型中的隐私性和真实性。最后,全面的性能比较和分析证明了所提方案的效率。
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Hierarchal Bilateral Access Control With Constant Size Ciphertexts for Mobile Cloud Computing
Mobile cloud computing (MCC) integrates the advantages of mobile networks and cloud computing, enabling users to enjoy personalized services without constraints and restrictions of time and place. While this brings convenience, it also comes with risks such as privacy breaches and unauthorized access to outsourced data. Bilateral access control is a promising technique for addressing these issues. However, the current bilateral access control schemes cannot solve problems such as single point failure. To further enhance and enrich the existing schemes, we propose hierarchical bilateral access control. In the proposed scheme, the permission of generating encryption keys and decryption keys can be delegated to its child nodes, which alleviates the computation and communication overheads of the parent nodes and weaken the potential risks of single-point failure. Additionally, the ciphertext size remains constant, reducing the costs of transmitting and storing ciphertext and relieving resource limitations on devices. We then prove the privacy and authenticity of the scheme in the random oracle model. Finally, the comprehensive performance comparison and analysis demonstrate the efficiency of the proposed scheme.
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来源期刊
IEEE Transactions on Cloud Computing
IEEE Transactions on Cloud Computing Computer Science-Software
CiteScore
9.40
自引率
6.20%
发文量
167
期刊介绍: The IEEE Transactions on Cloud Computing (TCC) is dedicated to the multidisciplinary field of cloud computing. It is committed to the publication of articles that present innovative research ideas, application results, and case studies in cloud computing, focusing on key technical issues related to theory, algorithms, systems, applications, and performance.
期刊最新文献
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