用于未知病毒检测的免疫识别模型和算法研究

现有的反病毒技术难以识别与处理新的未知病毒。本文借鉴生物免疫系统识别未知病毒的机制,以非我识别机制为基础,进一步抽取免疫进化学习机制和阳性／阴性选择机制,提出了一种新的检测器和自我均自适应变化的免疫识别模型和算法。文中给出了算法的详细实现步骤,并针对几种实际病毒进行了检测实验。测试实验结果表明该算法能够检测到未知病毒,具有很好的应用前景。

Research on Immune Recognition Model and Algorithm for Unknown Viruses Detection

Lacking the ability of recognizing and processing the unknown viruses is one of the major limitations of common anti-virus technologies. Inspired by the vertebrate immune system,this paper puts forward and accomplished a novel immune recognition model and algorithm. Referencing the immune evolutionary learning mechanic and posi- tive/negative selection mechanic,this model and algorithm make the detectors and "self" to change by self-adaptation. This paper gives out the detailed implementation of this algorithm. Experiments on several real viruses prove that this algorithm has a good ability on recognizing unknown viruses and wide prospective application fields.