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Soft Computing and Artificial Intelligence Techniques for Intrusion Detection System

机译:入侵检测系统的软计算和人工智能技术

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The rapid development of computer networks and mostly of the Internet has created many stability and security problems such as intrusions on computer and network systems. Further the dependency of companies and government agencies is increasing on their computer networks and the significance of protecting these systems from attacks is serious because a single intrusion can cause a heavy loss or the consistency of network becomes insecure. During recent years number of intrusions has dramatically increased. Therefore it is very important to prevent such intrusions. The hindrance of such intrusions is entirely dependent on their detection that is a key part of any security tool such as Intrusion Detection System (IDS), Intrusion Prevention System (IPS), Adaptive Security Alliance (ASA), checkpoints and firewalls. Hence accurate detection of network attack is imperative. A variety of intrusion detection approaches are available but the main problem is their performance, which can be enhanced by increasing the detection rates and reducing false positives.
机译:计算机网络以及大多数Internet的飞速发展带来了许多稳定性和安全性问题,例如入侵计算机和网络系统。此外,公司和政府机构对计算机网络的依赖性越来越高,并且保护这些系统免受攻击的重要性非常严重,因为单次入侵可能会造成严重的损失,或者网络的一致性变得不安全。近年来,入侵次数急剧增加。因此,防止此类入侵非常重要。此类入侵的障碍完全取决于其检测,这是任何安全工具(如入侵检测系统(IDS),入侵防御系统(IPS),自适应安全联盟(ASA),检查点和防火墙)的关键部分。因此,准确检测网络攻击势在必行。可以使用多种入侵检测方法,但主要问题是它们的性能,可以通过提高检测率和减少误报来增强性能。

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