Intrusion detection system using Bagging Ensemble Selection

For a past few decades, there has been quick progress in internet based applications and technology in the area of computer networks. Data is most important asset of any organization and they require proper protection and management of private and highly sensitive information. Nowadays cyber-attacks have become very common and network security can be provided with Detection Systems. An intrusion detection system analyzes and gathers information from various areas within a network or computer to identify possible security breaches, which include both misuse and intrusion. Researchers are interested in intrusion detection system using data mining techniques as a deceitful skill. This paper aims to give an intrusion detection system using Bagging Ensemble Selection. Bagging Ensemble Selection implementation is fairly straightforward, and it gives an excellent predictive performance on practical problems.