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    计算机病毒判定专家系统原理与设计

    Theory and Experiments of Detection Expert System of Computer Viruses

    • 摘要: 本文详细地描述了计算机病毒判定专家系统的原理与具体设计方法,一定程度上解决了流行病毒的判定问题。该系统主要利用专家们研究计算机病毒所得的知识和经验构造而成的规则库以及已知病毒的档案库,运用正向不精确的推理机制,来鉴别某一程序是否染毒。该系统不仅克服了传统的检测技术误检测率高的缺点,而且适合于鉴别病毒变种,对判定将来出现的病毒也有一定作用。

       

      Abstract: This paper discribes the theory and experiments about Detection Expert System of Computer Viruses (VDES) and solves the problem of determining a popular virus in some degree. In order to determine that a given program has been infected by viruses, VDES is based on the rule set formed by knowledge and experience of experts and a forward inexact inference method is used. VDES not only overcomes shortcomings of past checking techniques, such as inexactitude in some case, but also can determine a virus variety, in other words, VDES can determine viruses appearing in the future.

       

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