摘要
网络规模较大、网络环境复杂等因素会加大用户隐私信息泄露风险,为了保证网络信息传输的安全性,提出一种基于支持隐私保护的网络信息安全传输方法。采集历史数据建立网络信息传输模型,分析不同类型隐私信息在传输时发生泄露的概率。将概率因子作为传输参照阈值,处理不同类型的隐私数据,求得传输信道加权信号增大的节点,节点即为隐私泄露的关键节点。建立微分攻击博弈模型,给出正常、存在泄露节点两种传输空间,运用积分函数计算数据经过两种空间后的隐私状态迁移概率,根据概率大小给出与传输空间积分对应的防御决策行为(强、中、弱),完成网络信息安全传输。实验结果表明,上述方法在网络信息传输中针对任意数据均能实现有效防御,隐私信息保存完整度高。
In order to ensure the security of network information transmission,a method of secure network information transmission based on supporting privacy protection was proposed.Firstly,we collected historical data to build a network information transmission model,and then analyzed the probability of leakage of different privacy information during the transmission.Secondly,we took the probability factor as the reference threshold to process different types of privacy data,and thus to obtain the node,which is the key node of privacy disclosure,with the increased weight signal in transmission channel.Moreover,we constructed a differential attack game model and gave two transmission spaces:normal space and the space with leaking nodes.Furthermore,we used integration function to calculate the migration probability of the privacy state of the data after passing through the two spaces.According to the probability,the defense decision behavior(strong,medium and weak)coresponding to the transmission space integral is given.Finally,we completed the safe transmission of network information.Experimental results show that the proposed method can achieve effective defense against any data during the network information transmission,and the privacy information has high integrity.
作者
张婷婷
王智强
ZHANG Ting-ting;WANG Zhi-qiang(Department of Network Security,Shanxi Police College,Taiyuan Shanxi 030400,China;College of Computer and Information Technology,Shanxi University,Shanxi Taiyuan 030400,China)
出处
《计算机仿真》
2024年第5期415-418,464,共5页
Computer Simulation
基金
2022年党的十九届六中全会及省第十二次党代会专项课题(2022YD165)。
关键词
隐私保护
安全防御
概率因子
微分攻击博弈模型
决策行为
Privacy protection
Security defense
Probability factor
Differential attack game model
Decisionmaking behavior