TY  - CONF
AU  - Čabarkapa, Danijel
AU  - Popović, Brankica
AU  - Čisar, Petar
AU  - Kuk, Kristijan
PY  - 2023
UR  - http://jakov.kpu.edu.rs/handle/123456789/1530
AB  - Software-Defined Networks (SDN) is an important technology that enables a new approach to how we develop and manage networks. SDN divides the data plane and control plane and supports the logical centralization of network control. However, the centralized architecture of SDN is also a potential vulnerability for various types of malicious attacks. The paper elaborates on the security aspects of virtualization as a basic concept of SDN architecture. Among the many types of attack, one of the most frequent and destructive are Distributed Denial of Service (DDoS) attacks. This paper presents an analysis of techniques to detect DDoS attacks in SDN networks. It first describes the SDN architecture and then elaborates on different detection techniques for DDoS attacks. Additionally, this paper emphasizes the types, components, and categories of detection solutions according to the techniques or methods used. The important approaches and those that can answer the complexity of detecting DDoS attacks in SDN are the detection schemes based on entropy and machine learning principles. This paper in general focuses on these two detection techniques and summarizes their benefits and drawbacks and finally provides a guideline for future research directions related to DDoS detection techniques in SDN networks.
PB  - Belgrade : University of Criminal Investigation and Police Studies
C3  - International scientific conference “Archibald Reiss Days”
T1  - Analysis of DDoS Attack Detection Techniques for Securing Software- Defined Networks
SP  - 17
EP  - 35
UR  - https://hdl.handle.net/21.15107/rcub_jakov_1530
ER  - 

@conference{
author = "Čabarkapa, Danijel and Popović, Brankica and Čisar, Petar and Kuk, Kristijan",
year = "2023",
abstract = "Software-Defined Networks (SDN) is an important technology that enables a new approach to how we develop and manage networks. SDN divides the data plane and control plane and supports the logical centralization of network control. However, the centralized architecture of SDN is also a potential vulnerability for various types of malicious attacks. The paper elaborates on the security aspects of virtualization as a basic concept of SDN architecture. Among the many types of attack, one of the most frequent and destructive are Distributed Denial of Service (DDoS) attacks. This paper presents an analysis of techniques to detect DDoS attacks in SDN networks. It first describes the SDN architecture and then elaborates on different detection techniques for DDoS attacks. Additionally, this paper emphasizes the types, components, and categories of detection solutions according to the techniques or methods used. The important approaches and those that can answer the complexity of detecting DDoS attacks in SDN are the detection schemes based on entropy and machine learning principles. This paper in general focuses on these two detection techniques and summarizes their benefits and drawbacks and finally provides a guideline for future research directions related to DDoS detection techniques in SDN networks.",
publisher = "Belgrade : University of Criminal Investigation and Police Studies",
journal = "International scientific conference “Archibald Reiss Days”",
title = "Analysis of DDoS Attack Detection Techniques for Securing Software- Defined Networks",
pages = "17-35",
url = "https://hdl.handle.net/21.15107/rcub_jakov_1530"
}

Čabarkapa, D., Popović, B., Čisar, P.,& Kuk, K.. (2023). Analysis of DDoS Attack Detection Techniques for Securing Software- Defined Networks. in International scientific conference “Archibald Reiss Days”
Belgrade : University of Criminal Investigation and Police Studies., 17-35.
https://hdl.handle.net/21.15107/rcub_jakov_1530

Čabarkapa D, Popović B, Čisar P, Kuk K. Analysis of DDoS Attack Detection Techniques for Securing Software- Defined Networks. in International scientific conference “Archibald Reiss Days”. 2023;:17-35.
https://hdl.handle.net/21.15107/rcub_jakov_1530 .

Čabarkapa, Danijel, Popović, Brankica, Čisar, Petar, Kuk, Kristijan, "Analysis of DDoS Attack Detection Techniques for Securing Software- Defined Networks" in International scientific conference “Archibald Reiss Days” (2023):17-35,
https://hdl.handle.net/21.15107/rcub_jakov_1530 .