网络用户隐私信息保护仿真研究

摘要

A protection method for private information of network user under network active defense is proposed based on stochastic game.Firstly,a dynamic network structure model of location change of network user is built,and the Markov chain is used to describe changing process of the private information,then the stochastic game is used to build model for attack and defense relationship between the network user and attacker.Moreover,the routing protocol of protection of the private information is designed,and feature extraction for the private information is carried out and the conflict of data forwarding link is adjusted.Finally,the protection of private information is achieved.Simulation results show that the method can reduce leakage probability of the private information.It has feasibility and practicability.%对网络用户隐私信息的保护,能够有效提高网络平台安全机制防御能力.对用户隐私信息的保护.需要对网络用户隐私信息进行特征提取,对数据转发链路冲突进行调整,完成对用户隐私信息的保护.传统方法对网络主动防御下的原始向量进行降维处理,获得目标向量集,但忽略了对数据转发链路冲突进行调整,导致保护精度偏低.提出基于随机博弈的网络主动防御下网络用户隐私信息保护方法.建立网络用户位置变化的动态网络结构模型,采用马尔科夫链刻画网络用户隐私信息的变化过程,利用随机博弈理论对网络用户与攻击者之间的攻防关系进行建模,对网络用户隐私信息保护路由协议进行设计,对网络用户隐私信息进行特征提取和数据转发链路冲突调整,实现网络主动防御下网络用户隐私信息保护.实验结果表明,所提方法可有效降低网络用户隐私信息泄露概率,具有可行性和实用性.