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Other literature type . 2019
License: CC BY
Data sources: Datacite
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Other literature type . 2019
License: CC BY
Data sources: Datacite
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An Application of Artificial Neural Network Based Intrusion Detection System

Authors: Erol, Salih Erdem; Benzer, Recep;

An Application of Artificial Neural Network Based Intrusion Detection System

Abstract

Abstract 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.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green