Abstract
In the present milieu of connected world, where security is the major concern, Intrusion Detection System is the prominent area of research to deal with various types of attacks in network. Intrusion detection systems (IDS) finds the dynamic and malicious traffic of network, in accordance to the aspect of network. Various form of IDS has been developed working on distinctive approaches. One popular approach is machine learning in which various algorithms like ANN, SVM etc. have been used. But the most prominent method used is ANN. The performance of the ANN can significantly be improved by combining it with different metaheuristic algorithms. In present work, GWO is used to optimize ANN. For this KDD-99 data-set is used to classify various types of attacks i.e. denial of service (DOS), normal and other form of attack. The present paper provides detailed analysis of the performance of Artificial Neural Network and optimized Artificial Neural Network with GA, PSO and GWO. The research shows that ANN with GWO outperform as compared to others (ANN, ANN with PSO and ANN with GA).
Highlights
2.1 Intrusion Detection Techniques Intrusion detection systems (IDS) can be classified into numerous classes on the basis of detection or structure
Intrusion Detection System can be grouped on the basis of characerstics as shown below: 2.2 Based on Structure The IDS process can be classified on the basis of its framework into three classes which are Network based Intrusion Detection System, Application Based Intrusion Detection System and Host Based Intrusion Detection System
This paper has summarized the current research in detecting using collaborative forms of intrusion detection systems (CIDSs)
Summary
The use of internet is growing at a large pace with is highly developed and emerging forms of ever growing network and its connectivity but usage of internet produces a great damage to security of the system. One of the difficult task among the networksecurity is to sustain the integrity of the IDS so as to protect the system from distinct attacks. A number of experiments are carried out by researches to monitor the security from various intrusions. The main aim of Intrusion Detection System is to protect the public, governmental or private information [10]. An IDS automatically, issues an alarm or message to the authority whenever any intrusion or attack is observed in the network [3]. IDS reduces the false alarm rate to provide better detection of intrusions.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
