基于扩展贝叶斯分类的网络涉密信息安全传输  

Secure Transmission of Network Classified Information Based on Extended Bayesian Classification

作　　者：凌天斌 康亚坤 LING Tian-bin;KANG Ya-kun(Information Engineering University of PLA Strategic Support Forces,Luoyang Henan 471003,China)

机构地区：[1]中国人民解放军战略支援部队信息工程大学,河南洛阳471003

出　　处：《计算机仿真》2022年第8期377-382,共6页Computer Simulation

摘　　要：目前网络涉密信息安全传输方法未将信息进行分类检测,也未构建独立的网络传输通道,使信息不能在安全的网络环境内进行传递,容易因安全漏洞导致传输中的信息出现泄漏、遗失等情况。针对上述问题,提出基于将贝叶斯分类扩展的信息安全传输方法。推理分类含有贝叶斯的网络得到朴素贝叶斯分类器解析,构建成新的扩展贝叶斯分类算法,选取入侵检测中的非规则检测来建立信息安全检测模型,对分类后的信息进行安全检测、判断安全状态,并构建网络安全传输通道对其进行加密,使检测后的涉密信息在安全通道内完成传递过程。实验对比结果表明,所提方法可以在相同的网络环境下实现信息的安全传输,并且具备优秀的运行效率与良好的安全性、机密性。Presently,due to the security loopholes,the transmission method of network confidential information security is facile to lead to information leakage and loss in transmission.Therefore,this paper puts forward an information security transmission method based on the extension of Bayesian classification.Firstly,the Bayesian network was classified and reasoned to obtain the resolution of naive Bayesian classifier,establishing a new extended Bayesian classification algorithm.Secondly,the irregular detection in intrusion detection was used to establish the detection model of information security.Then,the classified information was detected.The security state was also judged,and the network security transmission channel was constructed to encrypt it.Finally,the detected secret information was transmitted through a secure channel.The results show that the method has excellent operation efficiency,security and confidentiality,and can complete the secure transmission of information.

关 键 词：安全漏洞 贝叶斯分类 安全检测模型 入侵检测 安全传输通道 

分 类 号：TP318.2[自动化与计算机技术—计算机软件与理论]