A Layered Approach for Intrusion Detection Using Meta-Modeling With Classification Techniques
Extensive growth of the internet and increasing availability of tools and tricks for intruding and attacking networks, have prompted intrusion detection to become a critical component of network administration. 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.