Network based distributed intrusion detection is a common trend in several commercial intrusion detection systems. However, network based intrusion detection requires that a security officer comprehends the dynamic and non-deterministic nature of data traffic across the network. This paper provides security officers with a brief introduction to intrusion detection techniques and classifications...

A hybrid approach for intrusion detection in computer networks is presented in this paper. The proposed approach combines an evolutionary-based fuzzy system with an Ant Colony Optimization procedure to generate high-quality fuzzy-classification rules. We applied our hybrid learning approach to network security and validated it using the DARPA KDD-Cup99 benchmark data set. The results indicate t...

The goal of Distributed Intrusion Detection System is to analyze events on the network and identify attacks. The increasing number of network security related incidents makes it necessary for organizations to actively protect their sensitive data with the installation of intrusion detection systems (IDS). There is a difficulty to find intrusion in an distributed network segment from inside as w...

As the number of network intrusions emerges, intrusion defense mechanisms are required urgently for providing a highly secure network environment. The intrusion detection system (IDS) is such a system to detect possible intrusions of networks, and to minimize the response time between intrusion detection and defense reaction as much as possible. In this paper, we propose a network-based intrusi...

Problem statement: Wireless LAN IEEE 802.11 protocols are growing rapidly and security has always been a concern with the security of wired network. Wireless networks encountered threats from unauthorized access to network resources, installation of access points and illegal sniffing (refer as classical intrusion threats). In its current hybrid wired and wireless network attacks on the generall...

A unified method for statistical anomaly detection in intrusion detection systems is theoretically introduced. It is based on estimating a dispersion measure of numerical or symbolic data on successive moving windows in time and finding the times when a relative change of the dispersion measure is significant. Appropriate dispersion measures, relative differences, moving windows, as well as tec...

In recent years, wireless ad hoc sensor network becomes popular both in civil and military jobs. However, security is one of the significant challenges for sensor network because of their deployment in open and unprotected environment. As cryptographic mechanism is not enough to protect sensor network from external attacks, intrusion detection system needs to be introduced. Though intrusion pre...

Network intrusion detection systems provide proactive defense against security threats by detecting and blocking attack-related traffic. This task can be highly complex, and therefore, software-based network intrusion detection systems have difficulty in handling high speed links. This paper describes the design and implementation of a highperformance network intrusion detection system that com...

ALDWAIRI, MONTHER MUSTAFA. Hardware Efficient Pattern Matching Algorithms and Architectures for Fast Intrusion Detection. (Under the direction of Dr. Paul Franzon). Intrusion detection processors are becoming a predominant feature in the field of network hardware. As demand on more network speed increases and new network protocols emerge, network intrusion detection systems are increasing in im...

intrusion detection in wireless networks has been a challenging researchproblem in network security for more than half a century. this paper presents anovel intrusion detection method based on received signal strength acceptancetest (rssat) to improve the ids capabilities in anomaly-based host-basedintrusion detection systems (hids). the new system can identify suspiciousbehaviors detecting ano...