Revokable Blockchain-Enabled Ranked Multi-Keyword Attribute-Based Searchable Encryption Scheme With Mobile Edge Computing for Vehicular

IF 4.7 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Ruiwei Hou;Fucai Zhou;Qiang Wang;Zi Jiao;Jintong Sun;Zongye Zhang
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引用次数: 0

Abstract

The Internet of Vehicles (IoV) faces critical challenges in balancing real-time data processing, privacy preservation, and secure data sharing amid growing intelligent transportation demands. While mobile edge computing (MEC) reduces latency by offloading tasks to MEC servers, efficient encrypted search and dynamic access control remain unresolved. Attribute-based keyword search (ABKS) enables privacy-preserving queries on encrypted data but exhibits critical limitations such as lack of revocable access for dynamic user privileges, exposed access policy that risk sensitive attribute leakage, and data integrity verification. Moreover, existing ABKS schemes further suffer from centralized key management in attribute-based encryption (ABE), introducing single points of failure and key escrow issues. To address these issues, we propose BC-RMABSE, a blockchain-enabled ABKS scheme. Our scheme leverages the vector space model to enable ranked multi-keyword searches, returning top-k relevant results for improved efficiency. Policy-hiding mechanisms and attribute revocation ensure flexible fine-grained access control while safeguarding sensitive attributes. A decentralized key distribution strategy using Pedersen’s (k, n) secret sharing protocol eliminates reliance on central authority, mitigating security risks. Blockchain technology enforces data integrity through tamper-proof consensus and resolves the “service-payment” imbalance via smart contracts, ensuring transactional fairness between users and untrusted service providers. Experimental analysis indicates that our scheme performs well in terms of both security and search efficiency.
基于移动边缘计算的可撤销的基于区块链的排名多关键字属性可搜索加密方案
在日益增长的智能交通需求中,车联网(IoV)在平衡实时数据处理、隐私保护和安全数据共享方面面临严峻挑战。虽然移动边缘计算(MEC)通过将任务卸载到MEC服务器来减少延迟,但有效的加密搜索和动态访问控制仍然没有解决。基于属性的关键字搜索(ABKS)支持对加密数据进行隐私保护查询,但也存在一些严重的限制,例如缺乏对动态用户特权的可撤销访问、暴露的访问策略可能导致敏感属性泄露,以及数据完整性验证。此外,现有的ABKS方案进一步受到基于属性的加密(ABE)中的集中密钥管理的影响,引入了单点故障和密钥托管问题。为了解决这些问题,我们提出了BC-RMABSE,一个支持区块链的ABKS方案。我们的方案利用向量空间模型来支持排序多关键字搜索,返回前k个相关结果以提高效率。策略隐藏机制和属性撤销确保灵活的细粒度访问控制,同时保护敏感属性。使用Pedersen (k, n)秘密共享协议的去中心化密钥分发策略消除了对中央权威的依赖,降低了安全风险。区块链技术通过防篡改共识增强数据完整性,通过智能合约解决“服务-支付”失衡,确保用户与不可信服务提供商之间交易的公平性。实验分析表明,该方案在安全性和搜索效率方面都有较好的表现。
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来源期刊
IEEE Transactions on Network and Service Management
IEEE Transactions on Network and Service Management Computer Science-Computer Networks and Communications
CiteScore
9.30
自引率
15.10%
发文量
325
期刊介绍: IEEE Transactions on Network and Service Management will publish (online only) peerreviewed archival quality papers that advance the state-of-the-art and practical applications of network and service management. Theoretical research contributions (presenting new concepts and techniques) and applied contributions (reporting on experiences and experiments with actual systems) will be encouraged. These transactions will focus on the key technical issues related to: Management Models, Architectures and Frameworks; Service Provisioning, Reliability and Quality Assurance; Management Functions; Enabling Technologies; Information and Communication Models; Policies; Applications and Case Studies; Emerging Technologies and Standards.
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