Analyzing Intrusion Detection System: An ensemble based stacking approach

Intrusion Detection System (IDS) is an application software which detects the presence of hostile or intrusive elements inside the system. As the nature and type of the intrusions are continuously changing, a simple IDS cannot completely tackle the security threat. In this paper, we have proposed an IDS model, which classifies different types of intrusion attacks based on Stacking classifier. Stacking is an ensemble based classifier. We have achieved good accuracy while classifying the KDD-Cup 99 dataset and that has been achieved with 10 fold cross validation.