Latah, MajdToker, L.2020-11-302020-11-302020-062405-9595http://hdl.handle.net/10679/7154https://doi.org/10.1016/j.icte.2019.11.002Denial 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).enginfo:eu-repo/semantics/openAccessArticle6212512700053770670001210.1016/j.icte.2019.11.002SecuritySoftware defined networking (SDN)Intrusion detectionMachine learning2-s2.0-85076236215