【摘要】：針對當前感染率高、威脅性極大的感染型計算機病毒,提出了一種基于免疫和代碼重定位的計算機病毒特征碼提取與檢測方法.借鑒生物免疫系統(tǒng)機理,定義了計算機系統(tǒng)中的自體、非自體、抗體、病毒檢測器、病毒基因等免疫概念,利用感染型病毒獨特的代碼重定位特性來提取病毒基因、構(gòu)建病毒基因庫,并在此基礎上建立了自體/非自體、病毒基因庫和病毒檢測器動態(tài)演化模型.理論分析與實驗結(jié)果表明,本方法有效克服了傳統(tǒng)方法存在的自體集完備性問題和病毒檢測器抗體完整性問題,因而比傳統(tǒng)方法有更好的效率與適應性.
[Abstract]:In view of the high infection rate and great threat, a method of extracting and detecting the signature of computer virus based on immune and code relocalization is proposed. Referring to the mechanism of biological immune system, the immune concepts of autogenous, non-autogenous, antibody, virus detector, virus gene and so on in computer system are defined, and the virus gene is extracted by using the unique code relocalization characteristics of infected virus. Based on the construction of virus gene bank, the dynamic evolution model of autologous / non-autologous virus gene bank and virus detector was established. The theoretical analysis and experimental results show that this method can effectively overcome the self-set completeness problem and the virus detector antibody integrity problem, so it has better efficiency and adaptability than the traditional method.
【作者單位】： 海南師范大學信息學院;Department
【基金】：國家自然科學基金資助項目(61462025,61262077,61363032,61463012) 海南省重點研發(fā)計劃資助項目(ZDYF2016013)
【分類號】：TP309.5
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本文編號：2218081