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An Application of Artificial Neural Network Based Intrusion Detection System

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journal contribution
posted on 2019-01-13, 17:17 authored by Salih Erdem Erol, Recep Benzer


Information systems are one of the areas where public and private sector invested the most in recent years. Almost every area of life, including critical infrastructure systems (electricity, water, telecommunications, banking, etc.), is managed by information systems. These developments provide an environment for the rapid increase of cyber-attacks and their application in very different ways. In this study, Intrusion Detection Systems, one of the basic elements for information security, will be evaluated and the results obtained from a sample ANN based IDS application will be analyzed.

Editor: H. Kemal İlter, Ankara Yıldırım Beyazıt University, Turkey
Received: August 19, 2018, Accepted: October 18, 2018, Published: November 10, 2018

Copyright: © 2018 IMISC Erol, Benzer. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.