基于免疫联想记忆的病毒检测算法

针对现有算法只考虑未知病毒检测的片面性 ,论文综合借鉴生物免疫机制中一次反应的非选择思想和二次反应的联想记忆思想 ,提出了一种基于免疫联想记忆的病毒检测算法 ,该算法结合了免疫非选择对未知病毒的识别能力和免疫联想记忆对已识别病毒的学习记忆能力 .基于免疫联想记忆的病毒检测算法除能有效地检测未知病毒外 ,还能快速检测出已知病毒的变种或具有类似行为特征的病毒 .针对典型宏病毒的实验验证了本文算法的检测性能

A Virus Detection Algorithm Based on Immune Associative Memory

To upgrade the existing algorithms which only aim to detecting unknown viruses, a new, immure associative memory based virus detection algorithm is put forward by incorporating the non self idea of immune first reaction and the associative memory idea of secondary reaction. The algorithm combines the recognition ability of immune non self selection for unknown viruses and the memory ability of immune associative memory for known viruses. It can detect not only unknown viruses effectively, but also variation viruses or those with similar behaviors of known viruses. Experiments on typical macro virus detection proved the detection performance of this algorithm.