智能化计算机安全监控信息网络技术研究

Intelligent computer security monitoring information network technology research

摘要:

为了保障计算机以及使用者信息的安全性、隐秘性,并且提高计算机的使用生命周期,需要对计算机进行安全智能监控。但采用当前的计算机安全监控技术对计算机安全进行监控时,没有设置具体的安全监控指标,无法计算出计算机安全监控的非安全因素权重,存在计算机网络可能自动泄密,无法智能监控以及监控数据误差大的问题。为此,将信息网络技术应用于计算机安全智能监控中,提出了一种基于LINUX的计算机安全智能监控方法。该方法先将计算机非安全因素进行分类,其中包括计算机网络配置,自带系统和网络病毒。然后利用SAltera EPM7128S芯片对计算机安全智能监控进行硬件构造,采用CPLD结构根据计算机非安全因素分类结果对计算机安全智能监控软件部分进行设计,软件设计中依据计算机安全智能监控失真衰减的抑制方法,实现计算机远程安全智能监控,最后根据Delphi法来建立计算机安全智能监控网络环境总体运行情况的评估指标体系,对大规模无法定量分析的计算机安全监控因素做出概率估计,以概率估计结果为依据对计算机安全智能监控的风险进行评估,从而实现对计算机安全的智能化监控。实验仿真证明,所提方法提高了计算机安全智能监控的全面性和高效性,减少了计算机安全智能监控数据传输的丢包率。

Abstract:

In order to protect the computer and the user information security, confidentiality, life cycle and improve the use of computers, the need for computer security intelligent monitoring. But the current computer security monitoring technology to monitor computer security, didn't set the safety monitoring index of concrete, cannot calculate the computer security monitoring of the safety factor weight, automatic computer network may leak, not intelligent monitoring and monitoring data of the problem of the great error. Therefore, the information network technology is applied to computer security intelligent monitoring, puts forward a computer security intelligent monitoring method based on LINUX. The method to classify computer not safety factors, including computer network configuration, bring their own system and network virus. Then using Altera EPM7128S chip intelligent monitoring of computer security hardware structure, adopts CPLD structure according to the results of the computer not safety factor classification to design the part computer security intelligent monitoring software, the software design of intelligent monitoring based on computer security distortion inhibition of attenuation method to realize computer remote security intelligent monitoring, according to the Delphi method to establish the computer security intelligent monitoring network environment on the performance of the overall evaluation index system, the quantitative analysis of large-scale unable to computer security monitoring factors make probability estimates, based on probability estimates for computer security risk evaluation of intelligent monitoring, so as to realize the intelligent monitoring of the computer security. Experimental simulation show that the proposed method improves the comprehensiveness of computer security intelligent monitoring and high efficiency, reduce the computer security intelligent monitoring data transmission, packet loss rate.