A Novel Intrusion Detection System Based on Neural Networks
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 datase...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2019-01-01
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| Series: | MATEC Web of Conferences |
| Online Access: | https://www.matec-conferences.org/articles/matecconf/pdf/2019/41/matecconf_cscc2019_03017.pdf |
| Summary: | 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. |
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| ISSN: | 2261-236X |