Research of intelligent immune intrusion detection system about combating virus with “virus”

Zhou Shao-jing, Shao Wen-li, Rong Hui, Chen Zhen-ting, Yang Yu
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引用次数: 2

Abstract

To solve the limitation problems exist in the anti-virus software, firewall, intrusion detection system, intrusion defense system and vulnerability scanning system, the research of the active defense system is imperative. This paper cited the feasibility and necessity of combating virus with “virus”, makes use of the spontaneous, subtle, infectious destructive and unpredictable characteristics about the virus, implants “virus” and cloned variation “virus” into immune intrusion detection system based on e-learning, which can effectively improve immunity of the system. The research includes the work principle of immune implantation about the “virus” and cloned variation “virus”, e-learning mechanism of Sogou intelligent robot, algorithm on the Sogou intelligent robot, active defense method based on combating virus with “virus”.
以“病毒”对抗病毒的智能免疫入侵检测系统研究
为了解决杀毒软件、防火墙、入侵检测系统、入侵防御系统和漏洞扫描系统存在的局限性问题,主动防御系统的研究势在必行。本文引用了以“病毒”对抗病毒的可行性和必要性,利用病毒的自发性、隐蔽性、传染性、破坏性和不可预测性等特点,将“病毒”和克隆变异“病毒”植入到基于e-learning的免疫入侵检测系统中,有效提高了系统的免疫力。研究内容包括“病毒”和克隆变异“病毒”的免疫植入工作原理、搜狗智能机器人的e-learning机制、搜狗智能机器人的算法、基于“病毒”对抗病毒的主动防御方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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