Minimizing false positive rate for DoS attack detection: A hybrid SDN-based approach

Name: Minimizing false positive rate for DoS attack detection: A hybrid SDN-based approach
Author: Latah, Majd, Toker, L.

İsim	Minimizing false positive rate for DoS attack detection: A hybrid SDN-based approach
Yazar	Latah, Majd, Toker, L.
Basım Tarihi:	2020-06
Basım Yeri	- Elsevier
Konu	Security, Software defined networking (SDN), Intrusion detection, Machine learning
Tür	Süreli Yayın
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	2405-9595
Kayıt Numarası	51953b1c-407f-43c0-af77-3c7483587104
Tarih	2020-06
Örnek Metin	Denial of Service attacks (DoS) are considered to be a major threat against today's communication networks. Recently, a novel networking paradigm that provides enhanced programming abilities has been proposed to attain an efficient control and management in future networks. In this work, we take the advantage of software-defined networking (SDN) to minimize the false positive rate of DoS attack detection systems. Our system combines flow-based and packet-based approaches to minimize the false positive rate (FPR). The experimental results conducted on NSL-KDD dataset have shown the effectiveness of our proposed approach, which successfully minimized the FPR as low as 0.3%. (C) 2020 The Korean Institute of Communications and Information Sciences (KICS).
DOI	10.1016/j.icte.2019.11.002
Cilt	6

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Minimizing false positive rate for DoS attack detection: A hybrid SDN-based approach

Yazar Latah, Majd, Toker, L.

Basım Tarihi 2020-06

Basım Yeri - Elsevier

Konu Security, Software defined networking (SDN), Intrusion detection, Machine learning

Tür Süreli Yayın

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 2405-9595

Kayıt Numarası 51953b1c-407f-43c0-af77-3c7483587104

Tarih 2020-06

Örnek Metin Denial of Service attacks (DoS) are considered to be a major threat against today's communication networks. Recently, a novel networking paradigm that provides enhanced programming abilities has been proposed to attain an efficient control and management in future networks. In this work, we take the advantage of software-defined networking (SDN) to minimize the false positive rate of DoS attack detection systems. Our system combines flow-based and packet-based approaches to minimize the false positive rate (FPR). The experimental results conducted on NSL-KDD dataset have shown the effectiveness of our proposed approach, which successfully minimized the FPR as low as 0.3%. (C) 2020 The Korean Institute of Communications and Information Sciences (KICS).

DOI 10.1016/j.icte.2019.11.002

Cilt 6