Security of computers and networks that connect them is increasingly becoming of great significant. Intrusion detection is the act of detecting actions that attempts to compromise the clandestinely, credibility or availability of a network resource. It is an important attribute of defensive measure protecting computer system and network traffic from abuses. Here, the authors are focusing on two important aspects of intrusion detection; one is accuracy and other is performance. In the paper it is demonstrated that high attack detection accuracy can be achieved by using meta-modeling techniques in combination with classification techniques and high performance is attained by the layered approach.