基于DBN的局域网非授权用户入侵检测系统

DBN based intrusion detection system for unauthorized users in Local Area Network

为解决非授权用户接入局域网主机的问题,降低攻击性信息对局域网安全性造成的影响,设计了基于深度置信网络(Deep Belief Nets,DBN)的局域网非授权用户入侵检测系统。在局域网架构体系中,规划用户授权模块、行为检测模块之间的分配与负载关系,完成系统的功能模块设计。借助DBN信息处理模型,匹配脚本信息与用户对象,实现对局域网入侵信息的处理。联合相关模块元件,完成局域网非授权用户入侵检测系统设计。实验结果表明,设计系统应用后,局域网主机对非授权用户入侵信息样本检测误差为0.1×10^(13)bit,保证了局域网的安全性。

In order to solve the problem of unauthorized users accessing the Local Area Network host and reduce the impact of aggressive information on the security of the Local Area Network,a Local Area Network unauthorized user intrusion detection system based on Deep Belief Networks(DBN)is designed.In the Local Area Network architecture,plan the distribution and load relationship between user authorization module and behavior detection module,and complete the functional module design of the system.With the help of DBN information processing model,match the script information and user object to realize the processing of Local Area Network intrusion information.Combined with relevant module elements,complete the design of Local Area Network unauthorized user intrusion detection system.The experimental results show that the detection error of the Local Area Network host to the unauthorized user intrusion information sample is 0.1×1013 bit after the design system is applied,which ensures the security of the Local Area Network.