【摘要】 关于用户隐私信息保护方法的研究,可以更好的提高用户隐私数据的安全等级。在无线网络攻击中对隐私信息的保护需要先对数据进行匿名处理,将数据匿名属性逐步细分化,完成对隐私信息的保护。传统方法通过组建完整的用户隐私信息保护模型,对不同网络攻击形式下的隐私数据进行分类处理,但忽略了对数据进行匿名化处理,导致信息保护效果不理想。提出基于贪心理论(GSNPP)的用户隐私信息保护方法。对无线网络中隐私数据节点进行聚类,生成多个簇,通过簇内泛化及簇间泛化对多分簇攻击下的网络隐私数据进行匿名处理,结合指数机制将隐私数据匿名属性逐步细分化,评估全部用户隐私信息保护细分策略的可用性,以评估结果为依据完成用户隐私信息保护。实验结果表明,所提方法能够有效提升无线网络攻击下用户隐私信息保护效果。更多还原

【Abstract】 A protection method for privacy information of user based on greed theory(GSNPP) is proposed.Firstly,the data node of privacy in wireless network is clustered to generate many clusters.The data of network privacy are processed anonymously under clusters attack through intra-cluster generalization and inter-cluster generalization.Then,the anonymity attribute of privacy data are subdivided gradually integrated with index mechanism,and the usability of subdivision strategy of protection for all users’ privacy information is evaluated.Finally,the protection of privacy information is completed according to evaluation results.Experiment results show that the method can improve protection effect under attack of wireless network effectively.It has good robustness.更多还原