An Application of Artificial Neural Network Based Intrusion Detection System
Salih Erdem Erol
Recep Benzer
10.6084/m9.figshare.7581977.v1
https://imisc.figshare.com/articles/journal_contribution/An_Application_of_Artificial_Neural_Network_Based_Intrusion_Detection_System/7581977
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<p><b>Abstract
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<p>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.
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<p><b>Editor: </b>H. Kemal İlter, Ankara Yıldırım Beyazıt University, Turkey<br><b>
Received: </b>August 19, 2018, <b>Accepted: </b>October 18, 2018, <b>Published: </b>November 10, 2018
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<p><b>Copyright:</b> © 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. </p>
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2019-01-13 17:17:44
Information security
imisc
Intrusion detection system
ANN
Machine learning
Business Information Systems