Machine Learning Techniques for Intrusion Detection System: A Review

Provided by: Journal of Theoretical and Applied Information Technology
Topic: Security
Format: PDF
Intrusion detection is considered as one of the foremost research areas in network security, the challenge is to recognize unusual access that could lead to compromising the interconnected nodes. Anomaly-based intrusion detection system, that utilizes machine learning techniques such as single classifier and hybrid classifier have the capability to recognize unpredicted malevolent. In this paper, the authors examine different machine learning techniques that have been proposed for detecting intrusion by focusing on the hybrid classifier algorithms.

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