Comparison of two Multi-Classification Approaches for Detecting Network Attacks

Provided by: IJAIR
Topic: Security
Format: PDF
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. In this paper, the authors demonstrated that high attack detection accuracy can be achieved by using classification techniques and high performance is attained by the multi-classification approach. To test the results, they have used NSL-KDD datasets.

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