A Study on Swarm Intelligence Techniques in Intrusion Detection
نویسندگان
چکیده
Intrusion Detection System is a security support mechanism which has received great attention from researchers all over the globe recently. In the recent past, bio-inspired meta-heuristic technique such as swarm intelligence is being proposed for intrusion detection. Swarm Intelligence approaches are used to solve complicated problems by multiple simple agents without centralized control. The swarm intelligence algorithms inspired by animal behaviour in nature such as ants finding shortest path in finding food; a flock of birds flies or a school of fish swims in unison, changing directions in an instant without colliding with each other has been successfully applied to optimization, robotics and military applications. But however, its application to the intrusion detection domain is limited but interesting and inspiring. This paper provides an overview of the research progress in swarm intelligence techniques to the problem of intrusion detection.
منابع مشابه
An Empirical Study of Intrusion Detection System Using Feature Reduction Based on Evolutionary Algorithms and Swarm Intelligence Methods
The use of computer more and more need to be increase the security day by day in a real world, the process of monitoring the computer system in a secure way for an unknown and known attack increase the availability and confidentiality of the system, the system provides the solution of such a problem is known as an Intrusion detection system. Intrusion detection systems play a vital role in netw...
متن کاملDetecting Sinkhole Attack in Wireless Sensor Network using Enhanced Particle Swarm Optimization Technique
Wireless Sensor Network (WSN) is a collection of tiny sensor nodes capable of sensing and processing the data. These sensors are used to collect the information from the environment and pass it on to the base station. A WSN is more vulnerable to various attacks. Among the different types of attacks, sinkhole attack is more vulnerable because it leads to a variety of attacks further in the netwo...
متن کاملData Preprocessing for Intrusion Detection System using Swarm Intelligence Techniques
Due to access of malicious data in internet, Intrusion detection system becomes an important element in system security that controls real time data and leads to huge dimensional problem, so a data pre-processing is necessary to reduce haziness and to clean network data. To reduce false positive rate and to increase efficiency of detection, the paper proposed a new swarm intelligence technique ...
متن کاملA Swarm-Intelligence-Based Intrusion Detection Technique
A Swarm-intelligence-based intrusion detection technique is proposed to in order to reduce the misjudgment & misdetection and increase the real-time response in the existing intrusion detection techniques show. Separating a huge and complicated intrusion detection system into severer independent detection units with unique function so that the amount of detection data processing and the complex...
متن کاملFuzzy Based Detection and Swarm Based Authenticated Routing in Manet
In mobile ad hoc networks (MANET), Artificial Intelligence (AI) based distributed intrusion detection (DIDS) techniques are very rarely available. In general, these techniques are used for either detection or authentication process. In this paper, we propose a combined approach named as fuzzy based intrusion detection and swarm based authenticated routing in MANET. This technique involves the d...
متن کامل