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An efficient blockchain-based privacy-preserving scheme with attribute and homomorphic encryption
International Journal of Intelligent Systems ( IF 5.0 ) Pub Date : 2022-10-29 , DOI: 10.1002/int.22946 Guangxia Xu 1, 2 , Jiajun Zhang 2 , Uchani Gutierrez Omar Cliff 3 , Chuang Ma 2
International Journal of Intelligent Systems ( IF 5.0 ) Pub Date : 2022-10-29 , DOI: 10.1002/int.22946 Guangxia Xu 1, 2 , Jiajun Zhang 2 , Uchani Gutierrez Omar Cliff 3 , Chuang Ma 2
Affiliation
As a distributed ledger technology, blockchain has excellent openness and transparency, which can provide data security management services for distributed intelligent systems and establish effective security guarantee mechanisms. However, precisely due to the open nature of blockchain, malicious users can trace the real transaction transfer path with high probability and even obtain the real identity of users by collecting transaction information on the blockchain and performing data analysis. Besides, existing intelligent systems lack effective encryption or desensitization measures, and attackers are able to access data in intelligent systems through identity forgery and other means, posing a huge potential risk to user privacy. To alleviate the above security issues, this paper proposes an efficient blockchain-based privacy-preserving scheme with attribute and homomorphic encryption, which can not only achieve user-level fine-grained secure access control but also supports the transmission and verification of blockchain data in the form of ciphertext. The access control method based on attribute-based encryption and the data transmission method based on homomorphic encryption are proposed, and the blockchain-based access whitelist mechanism is designed to reduce the resource loss due to repeated authentication. Simulation calculations and blockchain performance experiments show that this scheme can develop flexible access policies according to the attributes of users, has good performance in computational efficiency, and the blockchain performance test results are stable with errors in milliseconds for all operations. It has certain application potential in the field of distributed intelligent systems and blockchain.
中文翻译:
一种基于区块链的高效属性同态加密隐私保护方案
区块链作为一种分布式账本技术,具有优良的公开性和透明性,可以为分布式智能系统提供数据安全管理服务,建立有效的安全保障机制。然而,正是由于区块链的开放性,恶意用户可以通过收集区块链上的交易信息并进行数据分析,大概率追踪到真实的交易转账路径,甚至获取用户的真实身份。此外,现有的智能系统缺乏有效的加密或脱敏措施,攻击者可以通过身份伪造等方式获取智能系统中的数据,对用户隐私构成巨大的潜在风险。为了缓解上述安全问题,本文提出了一种高效的基于区块链的属性同态加密隐私保护方案,该方案不仅可以实现用户级细粒度的安全访问控制,还支持区块链数据以密文形式传输和验证。提出了基于属性加密的访问控制方法和基于同态加密的数据传输方法,设计了基于区块链的访问白名单机制,减少了由于重复认证造成的资源损失。仿真计算和区块链性能实验表明,该方案可以根据用户的属性制定灵活的访问策略,在计算效率上具有良好的表现,区块链性能测试结果稳定,所有操作均在毫秒级误差。在分布式智能系统和区块链领域具有一定的应用潜力。
更新日期:2022-10-29
中文翻译:
一种基于区块链的高效属性同态加密隐私保护方案
区块链作为一种分布式账本技术,具有优良的公开性和透明性,可以为分布式智能系统提供数据安全管理服务,建立有效的安全保障机制。然而,正是由于区块链的开放性,恶意用户可以通过收集区块链上的交易信息并进行数据分析,大概率追踪到真实的交易转账路径,甚至获取用户的真实身份。此外,现有的智能系统缺乏有效的加密或脱敏措施,攻击者可以通过身份伪造等方式获取智能系统中的数据,对用户隐私构成巨大的潜在风险。为了缓解上述安全问题,本文提出了一种高效的基于区块链的属性同态加密隐私保护方案,该方案不仅可以实现用户级细粒度的安全访问控制,还支持区块链数据以密文形式传输和验证。提出了基于属性加密的访问控制方法和基于同态加密的数据传输方法,设计了基于区块链的访问白名单机制,减少了由于重复认证造成的资源损失。仿真计算和区块链性能实验表明,该方案可以根据用户的属性制定灵活的访问策略,在计算效率上具有良好的表现,区块链性能测试结果稳定,所有操作均在毫秒级误差。在分布式智能系统和区块链领域具有一定的应用潜力。