00962nas a2200181   4500000000100000000000100001008004100002260000900043653001400052653002000066653001900086100001800105700002000123245005500143300001200198490000700210520056300217       2013                            d  c201310aintrusion10amulti detection10aUnknown attack1 aSethu Murugan1 aDr .K.Kuppusamy00aIntelligent Intrusion Detection Prevention Systems  a109-1190 v263 a<p>Intelligence Intrusion Detection Prevention Systems (IDPs) have played an important role to defend our networks from malware attacks. However, since they are still unable to detect an unknown attack, i.e. the zero-day attack, the ultimate challenge in the intrusion detection field is how we can exactly identify such an attack. This paper presents a novel approach which differs from the traditional detection models that are based on intelligence. The proposed method can extract unknown activities from IDS alerts by applying data mining technique.</p>