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作 者:董冰[1] DONG Bing(Institute of Geogaphical Sciences,Henan Academy of Sciences,Zhengzhou 450052,China)
出 处:《河南科学》2024年第2期209-215,共7页Henan Science
摘 要:网络中提供身份信息的网络资源容易导致个人身份数据的泄露,为了保障身份信息安全,需要进行信息隐私保护设计,提出一种基于密文域敏感信息表征的隐私保护算法.采用双线性映射编码技术构建表征个人隐私信息的比特序列信息模型,提取比特序列信息的信息熵特征量,在密文域中对提取的特征量进行混沌加密设计.设计隐私保护敏感信息的密钥构造方案,运用到数字签名中,对每组信息进行分块加密和身份认证,实现隐私保护设计.仿真结果表明,采用该算法进行隐私保护,对用户敏感信息加密后的抗攻击性能较好,模型的可信度较高,具有较好的隐私保护能力.In the network to provide the identity information of cyber source may lead to leakage of personal identity data.In order to protect the identity of information security,it is necessary to design a privacy protection information,this study proposes a privacy protection algorithm based on cipher text domain sensitive information representation.The information bit sequence model of personal privacy information is characterized by bilinear mapping and encoding technology.The extraction of information entropy characteristic sequence of bits of information is carried out,in the domain of ciphertext the extracted characteristic quantity is designed for chaotic encryption.The design key construction programme for the privacy protection of sensitive information,is used in digital signatures,for each information block encryption and authentication,protecting the privacy.The simulation results show that by using the algorithm for protecting privacy,the anti attack performance of user sensitive information encrypted is great,and the model credibility is high.The algorithm has a good ability of privacy preserving.
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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