CAJ | 학술논문

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。
본문주요연구망락불량신식식별방법，제출료일충기우면역원리적불량신식식별방법，기중응용료다층방호、항원식별、음성선택、극륭선택、협동자격급면역응답등면역원리，병대검측규칙생성방법진행료개진。통과실험험증료해방법재식별솔、오판솔여루판솔방면도우우전통적불량신식식별방법，병구유량호적괄용성화확전성。
This paper focuses on the detecting method of unwanted information for network, and introduce a new detecting method which is based on immune prin-ciple and applies principles such as multi-protection, antigen recognition, negative selection, colon selection, co-stimulation 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 adapt-ability is superior to the conventional detecting method in aspects of detection ratio, misjudgment ratio, miss-ing report ratio.