Improved Detecting Host Based Intrusions Based On Hybrid SVM Using Grey Wolf Optimizer

Abstract

The blooming of intrusion instance trace notified as grim threat as per internet industry is concerned. To overcome, detection methodologies are designed by adopting an extensive intense research in the internet industry. Based on the consideration of challenging task and performance existence of contemporary computational methodologies, the objective of this Proposed Research has developed the enhanced hybrid strategy by combining the Support Vector Machine approach from classifier-based techniques and the Grey Wolf Optimizer from evolutionary techniques to optimize the support vector machine parameter towards the accurate classification of Host based intrusions with high detection accuracy and minimal false leads.