摘要
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。
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 .
出处
《黑龙江工程学院学报》
CAS
2015年第1期32-35,41,共5页
Journal of Heilongjiang Institute of Technology
基金
国家青年基金资助项目(61300156)
福建省教育厅资助项目(JB10119)
关键词
病毒检测
人工免疫
云平台
非自体抗原
virus detection
artificial immune
cloud platform
nonself antigens
