Hybrid Intrusion Detection System for DDoS Attacks
Joint Authors
Cepheli, Özge
Büyükçorak, Saliha
Karabulut Kurt, Güneş
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-04-03
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Cepheli, Özge& Büyükçorak, Saliha& Karabulut Kurt, Güneş. 2016. Hybrid Intrusion Detection System for DDoS Attacks. Journal of Electrical and Computer Engineering،Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1108405
Modern Language Association (MLA)
Cepheli, Özge…[et al.]. Hybrid Intrusion Detection System for DDoS Attacks. Journal of Electrical and Computer Engineering No. 2016 (2016), pp.1-8.
https://search.emarefa.net/detail/BIM-1108405
American Medical Association (AMA)
Cepheli, Özge& Büyükçorak, Saliha& Karabulut Kurt, Güneş. Hybrid Intrusion Detection System for DDoS Attacks. Journal of Electrical and Computer Engineering. 2016. Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1108405
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1108405