MATEC Web Conf.
Volume 292, 201923rd International Conference on Circuits, Systems, Communications and Computers (CSCC 2019)
|Number of page(s)||4|
|Published online||24 September 2019|
A Novel Intrusion Detection System Based on Neural Networks
1 Div. of Computer Engineering and Information Science, Hellenic Air Force Academy, Dekeleia, Attica, Greece
2 Univ. Of West Attica, School of Engineering, Campus 1, 12210 Egaleo, Athens, Greece
* Corresponding author: firstname.lastname@example.org
This paper proposes a novel intrusion detection system (IDS) based on Artificial Neural Networks (ANNs). The system is still under development. Two types of attacks have been tested so far: DDoS and PortScan. The experimental results obtained by analyzing the proposed IDS using the CICIDS2017 dataset show satisfactory performance and superiority in terms of accuracy, detection rate, false alarm rate and time overhead, compared to state of the art existing schemes.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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