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Author/Affiliation: Omar EL BannayOpen AccessArticle
7 Pages, 548 KB 
Machine Learning for Network Intrusion Detection Based on SVM Binary Classification Model
Abstract:
Recently, the number of connected machines around the worldwide has become very large, generating a huge amount of data either to be stored or to be communicated. Data protection is a concern for all institutions, it is difficult to manage the masses of data that are susceptible to multiple threats. In this work, we present…
Read More(This article belongs to the iraset-20 (Special Issue on Innovative Research in Applied Science, Engineering and Technology 2020) & Section Interdisciplinary Applications of Computer Science (CSI))