摘要
本文主要对大数据网络用户隐私信息加密的实现路径进行研究,根据加密过程产生的用户隐私信息丢失的不同类型,提出基于同态加密的安全保护隐私信息的方法,首先对大数据中各节点能量通过使用分簇路由进行均衡处理,为保证用户隐私信息的完整性采用了同态Hash函数,同时通过簇组密钥的引入使节点信息被破译的概率得以有效降低,从而实现了对大数据网络用户隐私信息的安全保护。检测结果表明该方法科使隐私信息的安全性得以有效提升,加解密速度较快能够满足用户的实际需求。
This paper mainly studies the implementation path of user privacy information encryption in large data networks. According to the different types of user privacy information loss caused by encryption process, a method of protecting privacy information based on homomorphic encryption is proposed. In order to ensure the integrity of user privacy information,the homomorphic Hash function is adopted. At the same time, the probability of node information being decoded is effectively reduced by introducing the cluster key. Thus, the security protection of user privacy information in large data network is realized. The test results show that this method can effectively improve the security of privacy information, and the speed of encryption and decryption can meet the actual needs of users.
引文
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