Hybrid Intrusion Detection System for DDoS Attacks

Distributed denial-of-service (DDoS) attacks are one of the major threats and possibly the hardest security problem for today’s Internet. In this paper we propose a hybrid detection system, referred to as hybrid intrusion detection system (H-IDS), for detection of DDoS attacks. Our proposed detectio...

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Published in:Journal of electrical and computer engineering 2016-01, Vol.2016 (2016), p.1-8
Main Authors: Cepheli, Özge, Karabulut Kurt, Güneş, Büyükçorak, Saliha
Format: Article
Language:English
Subjects:
Accuracy
Computer information security
Denial of service attacks
Detectors
Hybrid systems
Internet
Intrusion
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description Distributed denial-of-service (DDoS) attacks are one of the major threats and possibly the hardest security problem for today’s Internet. In this paper we propose a hybrid detection system, referred to as hybrid intrusion detection system (H-IDS), for detection of DDoS attacks. Our proposed detection system makes use of both anomaly-based and signature-based detection methods separately but in an integrated fashion and combines the outcomes of both detectors to enhance the overall detection accuracy. We apply two distinct datasets to our proposed system in order to test the detection performance of H-IDS and conclude that the proposed hybrid system gives better results than the systems based on nonhybrid detection.
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subjects Accuracy
Computer information security
Denial of service attacks
Detectors
Hybrid systems
Internet
Intrusion
title Hybrid Intrusion Detection System for DDoS Attacks
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