基于免疫原理的网络不良信息识别方法  

A Method for Detecting Unwanted Online Information Based on Immune Principles

作　　者：邓东丰[1] 魏薇[1] 

机构地区：[1]工业和信息化部信息通信安全研究所,北京100191

出　　处：《现代电信科技》2014年第9期52-58,63,共8页Modern Science & Technology of Telecommunications

摘　　要：本文主要研究网络不良信息识别方法,提出了一种基于免疫原理的不良信息识别方法,其中应用了多层防护、抗原识别、阴性选择、克隆选择、协同刺激及免疫应答等免疫原理,并对检测规则生成方法进行了改进。通过实验验证了该方法在识别率、误判率与漏判率方面都优于传统的不良信息识别方法,并具有良好的适用性和扩展性。Abstract： This paper focuses on the detecting method of unwanted information for network, and introduce a new detecting method which is based on immune principle and applies principles such as multi-protection, antigen recognition, negative selection, colon selection, costimulation and immune response. Meanwhile, the measure of creating detectors is also improved. The simulation shows that the detecting method based on immune principle which has expansibility and adaptability is superior to the conventional detecting method in aspects of detection ratio, misjudgment ratio, missing report ratio.

关 键 词：不良信息 免疫原理 识别方法 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术]