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

Title	Minimizing false positive rate for DoS attack detection: A hybrid SDN-based approach
Author	Latah, Majd, Toker, L.
Publication Date:	2020-06
Publication Place	- Elsevier
Subject	Security, Software defined networking (SDN), Intrusion detection, Machine learning
Type	Periodical
Language	English
Digital	Yes
Manuscript	No
Library:	Özyeğin University
Library Asset ID	2405-9595
Record ID	51953b1c-407f-43c0-af77-3c7483587104
Date	2020-06
Sample Text	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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Özyeğin University

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

Author Latah, Majd, Toker, L.

Publication Date 2020-06

Publication Place - Elsevier

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

Type Periodical

Language English

Digital Yes

Manuscript No

Library Özyeğin University

Library Asset ID 2405-9595

Record ID 51953b1c-407f-43c0-af77-3c7483587104

Date 2020-06

Sample Text 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