The goal of this paper is to present designed architecture of intrusion detection system based on events planning and intrusion signature. The article describes problematic of the variation of intrusions and intrusion detection systems. The core of the proposed architecture is intrusion signature matching through petri nets that clasify system behaviour and determine potential intrusion of moni...

Security is becoming a critical part of organizational information systems. Intrusion Detection System (IDS) is an important detection that is used as a countermeasure to preserve data integrity and system availability from attacks. The main reason for using Data Mining Classification Methods for Intrusion Detection Systems is due to the enormous volume of existing and newly appearing network d...

Recently, information security has become a key issue in information technology as the number of computer security breaches are exposed to an increasing number of security threats. A variety of intrusion detection systems (IDS) have been employed for protecting computers and networks from malicious network-based or host-based attacks by using traditional statistical methods to new data mining a...

This paper examines techniques for providing adaptation in intrusion detection and intrusion response systems. As attacks on computer systems are becoming increasingly numerous and sophisticated, there is a growing need for intrusion detection and response systems to dynamically adapt to better detect and respond to attacks. The Adaptive Hierarchical Agentbased Intrusion Detection System (AHA! ...

Intrusion detection is a significant focus of research in the security of computer systems and networks. This paper presents an analysis of the progress being made in the development of effective intrusion detection systems for computer systems and distributed computer networks. The technologies which are discussed are designed to detect instances of the access of computer systems by unauthoriz...

An important goal of the 1999 DARPA Intrusion Detection Evaluation was to promote the development of intrusion detection systems that can detect new attacks. This thesis describes UNIX attacks developed for the 1999 DARPA Evaluation. Some attacks were new in 1999 and others were stealthy versions of 1998 User-to-Root attacks designed to evade network-based intrusion detection systems. In additi...

Network security is one of the major concerns of studies have been conducted on the intrusion detection system. Cluster-based Wireless A novel hybrid intrusion detection method method for wireless sensor networks. Accepted papers & International Conference on Advanced Wireless, Paper title:A Low-Complex Coverage Eligibility Algorithm For Wireless Sensor Networks. Paper title: A Novel Cluster He...

The Particle Swarm Optimization is very efficient in intrusion detection in the networks. However, many intrusion detection systems either fail to detect or falsely detect the intrusions. This paper proposes a technique for intrusion detection using Particle Swarm Optimization with Genetic Algorithm based feature selection and using Adaptive Mutation for slow convergence of optimization algorit...

As intrusions and other attacks become more widespread and more sophisticated, it becomes beyond the scope of any one intrusion detection and response (ID&R) system to deal with them. The need thus arises for systems to cooperate with one another, to manage diverse attacks across networks and time. Heretofore, eeorts toward \cooperation" have focused primarily on homogeneous components, with li...

Intrusion detection is considered to be an effective technique to detect attacks that violate the security policy of systems. There are basically three different kinds of intrusion detection: Anomaly detection, misuse detection and specification-based intrusion detection [MB02]. Specification-based intrusion detection differs from the others by describing the desired functionalities of security...