End-To-End Adversarial Learning For Intrusion Detection In Computer Networks

PROCEEDINGS OF THE IEEE LCN: 2019 44TH ANNUAL IEEE CONFERENCE ON LOCAL COMPUTER NETWORKS (LCN 2019), pp.270-273, (2019)

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Abstract

This paper presents a simple yet efficient method for an anomaly-based Intrusion Detection System (IDS). In reality, IDSs can be defined as a one-class classification system, where the normal traffic is the target class. The high diversity of network attacks in addition to the need for generalization, motivate us to propose a semi-supervi...More

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Bahram Mohammadi
Bahram Mohammadi
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