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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| Format: | Article |
| Language: | English |
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Wiley
2016-01-01
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| Series: | Journal of Electrical and Computer Engineering |
| Online Access: | http://dx.doi.org/10.1155/2016/1075648 |
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| _version_ | 1832560969174220800 |
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| author | Özge Cepheli Saliha Büyükçorak Güneş Karabulut Kurt |
| author_facet | Özge Cepheli Saliha Büyükçorak Güneş Karabulut Kurt |
| author_sort | Özge Cepheli |
| collection | DOAJ |
| 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. |
| format | Article |
| id | doaj-art-c7c1f9b7f9134badb14c8d2d195185ca |
| institution | Kabale University |
| issn | 2090-0147 2090-0155 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Electrical and Computer Engineering |
| spelling | doaj-art-c7c1f9b7f9134badb14c8d2d195185ca2025-02-03T01:26:24ZengWileyJournal of Electrical and Computer Engineering2090-01472090-01552016-01-01201610.1155/2016/10756481075648Hybrid Intrusion Detection System for DDoS AttacksÖzge Cepheli0Saliha Büyükçorak1Güneş Karabulut Kurt2Department of Electronics and Communication Engineering, Istanbul Technical University, 34469 Istanbul, TurkeyDepartment of Electronics and Communication Engineering, Istanbul Technical University, 34469 Istanbul, TurkeyDepartment of Electronics and Communication Engineering, Istanbul Technical University, 34469 Istanbul, TurkeyDistributed 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.http://dx.doi.org/10.1155/2016/1075648 |
| spellingShingle | Özge Cepheli Saliha Büyükçorak Güneş Karabulut Kurt Hybrid Intrusion Detection System for DDoS Attacks Journal of Electrical and Computer Engineering |
| title | Hybrid Intrusion Detection System for DDoS Attacks |
| title_full | Hybrid Intrusion Detection System for DDoS Attacks |
| title_fullStr | Hybrid Intrusion Detection System for DDoS Attacks |
| title_full_unstemmed | Hybrid Intrusion Detection System for DDoS Attacks |
| title_short | Hybrid Intrusion Detection System for DDoS Attacks |
| title_sort | hybrid intrusion detection system for ddos attacks |
| url | http://dx.doi.org/10.1155/2016/1075648 |
| work_keys_str_mv | AT ozgecepheli hybridintrusiondetectionsystemforddosattacks AT salihabuyukcorak hybridintrusiondetectionsystemforddosattacks AT guneskarabulutkurt hybridintrusiondetectionsystemforddosattacks |