Attribute Based Privacy Protection Encryption Scheme Based on Inner Product Predicate
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摘要: 隐私保护是信息安全中的热点话题，其中属性基加密(ABE)中的隐私问题可分为数据内容隐私、策略隐私及属性隐私。针对数据内容、策略和属性3方面隐私保护需求，该文提出基于内积谓词的属性基隐私保护加密方案(PPES)。所提方案利用加密算法的机密性保障数据内容隐私，并通过向量承诺协议构造策略属性及用户属性盲化方法，实现策略隐私及属性隐私。基于混合论证技术，该文证明了所提方案满足标准模型下适应性选择明文安全，且具备承诺不可伪造性。性能分析结果显示，与现有方法相比，所提方案具有更优的运行效率。Abstract: Privacy protection is a hot topic in information security, where the privacy issues in Attribute Based Encryption(ABE) can be divided into data content privacy, policy privacy and attribute privacy. Considering the three privacy protection needs of data content, policy and attributes, an attribute-based Privacy-Preserving Encryption Scheme based on inner product predicates (PPES) is proposed. The privacy of data content is ensured by using confidentiality of encryption algorithm, furthermore the blind method of policy attributes and user attributes is constructed through vector commitment protocol to achieve policy privacy and attribute privacy. Based on the hybrid argument technology, adaptive chosen plaintext security of the scheme is proved under standard model. Besides commitment unforgeability of the scheme is also illustrated. The performance analysis results show that the proposed scheme has better operation efficiency compared to existing methods.
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