Detecting Attacks to Computer Networks Using a Multi-Layer Perceptron Artificial Neural Network

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P.BALAMUTHUKUMAR

Detecting Attacks to Computer Networks Using a Multi-Layer Perceptron Artificial Neural Network

Authors: P.BALAMUTHUKUMAR

Unique Paper ID: 149535
Volume: 6
Issue: 12
PageNo: 673-676

Keywords: Networking TCP/IP Neural Networking Multilayer Perceptron Intrusion Detection Systems

Abstract:
In this paper, we present concepts in artificial neural networks (ANN) to help detect intrusion attacks against network computers, and introduce and compare a multi-layer perceptron ANN (MLPANN) with Snort, an open-source tool for intrusion detection systems (IDS). To conduct these comparison experiments, we inserted malicious traffic into the MLPANN to train our ANN, with results indicating that our ANN detected 99% of these input attacks.

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Cite This Article

ISSN: 2349-6002
Volume: 6
Issue: 12
PageNo: 673-676

Detecting Attacks to Computer Networks Using a Multi-Layer Perceptron Artificial Neural Network

Available:https://ijirt.org/article?manuscript=149535

22 May, 2020

Incorporation of Human Resistant System and Advance Network Security System to improve Computer Security

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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