Intrusion detection has become a critical component of network administration due to the vast number of attacks persistently threaten our computers. Traditional intrusion detection systems are limited and do not provide a complete solution for the problem. They search for potential malicious activities on network traffics; they sometimes succeed to find true security attacks and anomalies. Howe...

In the field of network intrusion detection, both the signature-based intrusion detection system and the machine learning-based intrusion detection system possess advantages and disadvantages. When the two discrepant systems are combined in a way that the former is used as the main system and the latter as a supporting system, the machine learning-based intrusion detection system measures the v...

This paper describes an aggregation and correlation algorithm used in the design and implementation of an intrusion-detection console built on top of the Tivoli Enterprise Console (TEC). The aggregation and correlation algorithm aims at acquiring intrusion-detection alerts and relating them together to expose a more condensed view of the security issues raised by intrusion-detection systems.

The behavior and nature of attacks and threats to computer network systems have been evolving rapidly with the advances in computer security technology. At the same time however, computer criminals and other malicious elements find ways and methods to thwart such protective measures and find techniques of penetrating such secure systems. Therefore adaptability, or the ability to learn and react...

Traditional Intrusion Detection Systems (IDSs) mostly work off-line, without any direct runtime interaction or coordination with the applications (and with other IDSs) that they aim to protect. Including intrusion detection and response in the repertoire of an adaptive application extends its range of adaptivity and increases its chances for survival. In this paper we show how intrusion detecti...

Intrusion detection systems are an important component of defensive measures protecting computer systems and networks from abuse. Intrusion detection plays one of the key roles in computer security techniques and is one of the prime areas of research. Due to complex and dynamic nature of computer networks and hacking techniques, detecting malicious activities remains a challenging task for secu...

Intrusion-detection systems (IDS) aim at detecting attacks against computer systems and networks or, in general, against information systems. Its basic aim is to protect the system against malwares and unauthorized access of a network or a system. Intrusion Detection is of two types Network-IDS and Host BasedIDS. This paper covers the scope of both the types and their result analysis along with...

Today by growing network systems, security is a key feature of each network infrastructure. Network Intrusion Detection Systems (IDS) provide defense model for all security threats which are harmful to any network. The IDS could detect and block attack-related network traffic. The network control is a complex model. Implementation of an IDS could make delay in the network. Several software-base...

With the growing Information Systems and Network technologies, security threats over the systems have also become common. Providing a security mechanism to detect such threats has become an inevitable part of Information Systems. Distributed Denial of Service (DDoS) attack is one of the most common attacks which are done in a co-ordinated manner. Hence, we need a Distributed Intrusion Detection...