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Cengiz Güngör

Independent

SCHOLARLY PAPERS

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Scholarly Papers (3)

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1.

A Preliminary Survey on the Security of Software-Defined Networks

Akbaş, M. F., Karaarslan, E., & Güngör, C. (2016). A preliminary survey on the security of software-defined networks. International Journal of Applied Mathematics Electronics and Computers, (Special Issue-1), 184-189.
Posted: 01 Mar 2023
Muhammet Fatih Akbaş, Enis Karaarslan and Cengiz Güngör
Independent, Muğla Sıtkı Koçman University - Department of Artificial Intelligence and Independent

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Software-Defined Networks, SDN, SDN Security

2.

Artificial Intelligence-Based Solutions for the Security of Software-Defined Networks: A Preliminary Review (Yazılım Tanımlı Ağların Güvenliğinde Yapay Zekâ Tabanlı Çözümler: Ön İnceleme)

Akbaş, M. F., Karaarslan, E., & Güngör, C. (2016) Artificial Intelligence-Based Solutions for the Security of Software-Defined Networks: A Preliminary Review (Yazılım Tanımlı Ağların Güvenliğinde Yapay Zekâ Tabanlı Çözümler: Ön İnceleme), IDAP 2016
Posted: 13 Sep 2022
Muhammet Fatih Akbaş, Enis Karaarslan and Cengiz Güngör
Independent, Muğla Sıtkı Koçman University - Department of Artificial Intelligence and Independent

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Software-Defined Networks, SDN, SDN Security, Artificial Intelligence, Intelligent Systems, AI-Based Networks, AI-Based SDN Security, Cognitive Networks,Yazılım-Tanımlı Ağlar, SDN, SDN Güvenliği, Yapay Zekâ, Zeki Sistemler, AI-Tabanlı Ağlar, AITabanlı SDN Güvenliği, Bilişsel Ağlar

3.

Usage of Machine Learning Algorithms for Flow Based Anomaly Detection System in Software Defined Networks

Akbaş, M. F., Güngör, C., & Karaarslan, E. (2020, July). Usage of machine learning algorithms for flow based anomaly detection system in software defined networks. In International Conference on Intelligent and Fuzzy Systems (pp. 1156-1163). Springer, Cham.
Posted: 19 Aug 2022
Muhammet Fatih Akbaş, Cengiz Güngör and Enis Karaarslan
Independent, Independent and Muğla Sıtkı Koçman University - Department of Artificial Intelligence

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Software Defined Networks, Flow-Based Anomaly Detection System, Machine Learning, SDN, AI