This paper examines real-time intrusion detection systems. Intrusion detection systems detect attacks that attempt to compromise the integrity, confidentiality, or availability of a resource [1]. In particular, this paper focuses on intrusion detection approaches, techniques, and systems.

Intrusion Detection and Prevention System is a must for mobile ad networks as the security mechanisms like encryption, authentication and firewall systems are not able to completely secure the nodes and their communication. In this paper, we aim to study the various intrusion detection and prevention systems that were proposed for Mobile Adhoc Networks (MANETs) and compare the recent techniques...

In this paper we discuss the limitations of current Intrusion Detection System technology, and propose a hierarchical event correlation approach to overcome such limitations. The proposed solution allows to detect attack scenarios by collecting diverse information at several architectural levels, using distributed security probes, which is then used to perform complex event correlation of intru...

C security has become an increasingly vital field in computer science in response to the proliferation of private sensitive information. The term “Intrusion” refers to any unauthorized access which attempts to compromise confidentiality, integrity and availability of information resources [1] [14] [32]. Traditional intrusion prevention techniques such as firewalls, access control and encryption...

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 computer attacks are becoming more and more difficult to identify the need for better and more efficient intrusion detection systems increases. The main problem with current intrusion detection systems is high rate of false alarms. In this paper we discuss our experience in analyzing potential benefits of distributed multi sensor systems for intrusion detection. Our purpose for this work is ...

Applying intrusion detection to the fast growing computational Grid environments improves the security which is considered to be the heart of this new field. Flexible cooperative distributed intrusion detection architecture is introduced that suits and benefits from the underlying Grid environment. The proposed architecture was tested using homogeneous distributed intrusion detection servers th...

In this paper we propose a framework for intrusion detection called Fuzzy Agent-Based Intrusion Detection System . A unique feature of this model is that the agent uses the fuzzy logic to process log files. This reduces the overhead in a distributed intrusion detection system. We have developed an agent communication architecture that provides a prototype implementation. This paper discusses th...

1. Intrusion detection is the process of monitoring the events occurring in a computer system or network and analyzing them for signs of possible incidents, which are violations or imminent threats of violation of computer security policies, acceptable use policies, or standard security practices. Intrusion prevention is the process of performing intrusion detection and attempting to stop detec...

With the growth of networked computers and associated applications, intrusion detection has become essential to keeping networks secure. A number of intrusion detection methods have been developed for protecting computers and networks using conventional statistical methods as well as data mining methods. Data mining methods for misuse and anomaly-based intrusion detection, usually encompass sup...