Most intrusion detection systems available today are using a single audit source for detecting all attacks, even though attacks have distinct manifestations in different parts of the system. In this paper we carry out a theoretical investigation of the role of the audit source for the detection capability of the intrusion detection system (IDS). Concentrating on web server attacks, we examine t...

Network intrusions have become a significant threat in recent years as a result of the increased demand of computer networks for critical systems. Intrusion detection system (IDS) has been widely deployed as a defense measure for computer networks. Features extracted from network traffic can be used as sign to detect anomalies. However with the huge amount of network traffic, collected data con...

This paper presents the ADenoIdS intrusion detection system (IDS). ADenoIdS takes some architectural inspiration from the human immune system and automates intrusion recovery and attack signature extraction. These features are enabled through attack evidence detection. This IDS is initially designed to deal with application attacks, extracting signature for remote buffer overflow attacks. ADeno...

This paper presents an extension of MOVICAB-IDS, a Hybrid Intelligent Intrusion Detection System characterized by incorporating temporal control to enable real-time processing and response. The original formulation of MOVICAB-IDS combines artificial neural networks and case-based reasoning within a multiagent system to perform Intrusion Detection in dynamic computer networks. The contribution o...

At Present, it is very essential to establish a high level network security to make sure the more trusted and secure communication between various organizations. Network Security provides a platform to secure information channels from the huge amount of network attacks. Intrusion Detection System (IDS) is an estimable tool for the defense mechanism in computer networks. IDS focus on detecting o...

Network Intrusion Detection (NID) is the process of identifying network activity that can lead to the compromise of a security policy. In this paper, we will look at four intrusion detection approaches, which include ANN or Artificial Neural Network, SOM, Fuzzy Logic and SVM. ANN is one of the oldest systems that have been used for Intrusion Detection System (IDS), which presents supervised lea...

Due to the advancement in wireless technologies, many of new paradigms have opened for communications. Among these technologies, mobile ad hoc networks play a prominent role for providing communication in many areas because of its independent nature of predefined infrastructure. But in terms of security, these networks are more vulnerable than the conventional networks because firewall and gate...

Recently data mining methods have gained importance in addressing network security issues, including network intrusion detection-a challenging task in network security. Intrusion detection systems aim to identify attacks with a high detection rate and a low false alarm rate. Intrusion Detection System (IDS) and Intrusion Prevention Systems (IPS) in computer network security are real-time softwa...