System and methodology for unknown Malware attack
System and methodology for unknown Malware attack
复制标题
未知恶意软件攻击的系统和方法
DOI：
10.1049/cp.2011.0475
复制
发表时间：
2011
期刊：
影响因子：
--
通讯作者：
K. Kuppusamy
中科院分区：
文献类型：
--
作者：
S. Murugan;K. Kuppusamy
入侵检测防御系统越来越成为系统防御的一个重要组成部分。目前正在使用各种入侵检测预防方法，但它们相对无效。人工智能在安全服务中发挥着推动作用。本文提出了一种动态模型的智能入侵检测系统，基于特定的人工智能入侵检测方法。正在研究的技术包括神经网络和模糊逻辑与网络分析，使用简单的数据挖掘技术来处理网络数据。该系统是一个混合系统，结合了异常，误用和主机为基础的检测。
Intrusion Detection Prevention Systems are increasingly a key part of systems defense. Various approaches to Intrusion Detection prevention are currently being used, but they are relatively ineffective. Artificial Intelligence plays a driving role in security services. This paper proposes a dynamic model Intelligent Intrusion Detection System, based on specific AI approach for intrusion detection. The techniques that are being investigated includes neural networks and fuzzy logic with network profiling, that uses simple data mining techniques to process the network data. The proposed system is a hybrid system that combines anomaly, misuse and host based detection.