CAJ | 학술논문

伴随着快速发展的信息技术，病毒日益成为广大网民的安全威胁，云平台及其客户端遭受病毒侵害更为严重，每年病毒给世界各国带来了巨大的损失，并为此投入了巨大的人力物力。借鉴生物对异体的识别能力，提出一种基于人工免疫原理的病毒检测模型，通过自体耐受学习获得成熟检测器，利用成熟检测器检测非自体抗原。仿真实验证明此方法病毒检测率高，误检率低，并且具备很强的自适应能力。
반수착쾌속발전적신식기술，병독일익성위엄대망민적안전위협，운평태급기객호단조수병독침해경위엄중，매년병독급세계각국대래료거대적손실，병위차투입료거대적인력물력。차감생물대이체적식별능력，제출일충기우인공면역원리적병독검측모형，통과자체내수학습획득성숙검측기，이용성숙검측기검측비자체항원。방진실험증명차방법병독검측솔고，오검솔저，병차구비흔강적자괄응능력。
With the rapid development of information technology ,the virus has become the security threat of the majority of internet users , of w hich cloud platform and client have suffered from viruses more seriously .Every virus has caused many countries a great loss in the world ,and also wasted a lot of manpower and material resources .By using the biological recognition ability for allogeneic ,it proposes a detection model based on artificial immune principle to obtain a mature detector by self‐tolerance study , which can detect the non self antigens .Simulation results show this method of virus detection with low false detection rate has a strong adaptive capacity .