【摘要】 提出了一种基于人工免疫的病毒检测方法,给出了计算机软件系统中自体、非自体、抗原、免疫细胞等的表示方法,实现了否定选择和克隆选择等免疫机制。通过实验测试了该方法的识别能力、错误否定率和错误肯定率,结果表明该方法具有自适应、自学习和多样性等特点,能够有效地检测未知计算机病毒。更多还原

【Abstract】 An immune-based method for virus detection is proposed in this paper. The formal definitions of self, nonself, antigen, antibody, immunocyte in computer software system are presented. Some immune mechanism, such as negative selection and clone selection, are implemented. Experiments are done to test the detection ability, false-negative rate and false-positive rate of the method. Result shows that this method has the features of self-adaptation, self-learning, diversity, can detect know and unknow computer virus effectively.更多还原