Fast and Lightweight Detection and Filtering Method for Low-rate TCP Targeted Distributed Denial of Service (LDDoS) Attacks
Yazarlar (2)
Prof. Dr. Mehmet ŞİMŞEK Düzce Üniversitesi, Türkiye
Doç. Dr. Arafat Şentürk Düzce Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | International Journal of Communication Systems (Q3) | ||
| Dergi ISSN | 1074-5351 Dergi Bilgileri (2018) | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 12-2018 |
| Kabul Tarihi | 02-09-2018 | Yayınlanma Tarihi | 15-10-2018 |
| Cilt / Sayı / Sayfa | 31 / 18 / 3823–0 | DOI | 10.1002/dac.3823 |
| Makale Linki | http://doi.wiley.com/10.1002/dac.3823 | ||
| UAK Araştırma Alanları |
Algoritmalar ve Hesaplama Kuramı
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| Özet |
| Detection and filtering of low‐rate distributed denial of service (LDDoS) attacks is hard since their behavior is similar to legitimate users' behavior. In the literature, there are many filtering approaches and metrics for LDDoS attacks. However, most of the LDDoS detection methods in the literature only monitor congestion state. Actually, precongestion period that the attack has already started has valuable information about the attack. In this study, we proposed a method that uses precongestion period for metric calculation. Also, most of LDDoS filtering approaches have high false‐positive and false‐negative rates and also require long period of time for detection. Additionally, we developed an efficient method for detection and filtering of LDDoS attacks. According to the experimental results, the proposed LDDoS detection method has zero false‐positive and false‐negative rates under the scenarios; attack detection … |
| Anahtar Kelimeler |
| distributed denial of service attacks | internet of things | lightweight security | network security |
| Atıf Sayıları | |
| Web of Science | 13 |
| Scopus | 17 |
| Google Scholar | 20 |