Performance Evaluation of Software-Defined Networking Platforms during Denial-of-Service Attacks

Software-Defined Networking has emerged as a transformative technology in modern networking due to its centralized and programmable architecture. This study aims to evaluate the performance of two leading open source SDN platforms, the Open Networking Operating System (ONOS) and Open Daylight. The evaluation focuses on key performance metrics including availability, response time, and packet loss in two custom network scenarios during denial-of-service attack scenarios and examines how well these platforms handle attacks that specifically target OpenFlow protocols, which is used for control plane traffic. The results of this research provide valuable insight into the resilience of SDN solutions during cyberattacks and pave the way for the development of future mitigation strategies using artificial intelligence and machine learning techniques.

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Published
2024-11-28
DOI
https://doi.org/10.1109/icaiccit64383.2024.10912379
Primary Topic
Software-Defined Networks and 5G
Type
article
Field-Weighted Citation Impact
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Performance Evaluation of Software-Defined Networking Platforms during Denial-of-Service Attacks

Brijesh Kumar, Kamal Deep Singh
Software-Defined Networks and 5G
article

Performance Evaluation of Software-Defined Networking Platforms during Denial-of-Service Attacks

Brijesh Kumar, Kamal Deep Singh
article en

Abstract

Software-Defined Networking has emerged as a transformative technology in modern networking due to its centralized and programmable architecture. This study aims to evaluate the performance of two leading open source SDN platforms, the Open Networking Operating System (ONOS) and Open Daylight. The evaluation focuses on key performance metrics including availability, response time, and packet loss in two custom network scenarios during denial-of-service attack scenarios and examines how well these platforms handle attacks that specifically target OpenFlow protocols, which is used for control plane traffic. The results of this research provide valuable insight into the resilience of SDN solutions during cyberattacks and pave the way for the development of future mitigation strategies using artificial intelligence and machine learning techniques.

Manav Rachna International Institute of Research and Studies (IN)
Peace, Justice and strong institutions, Reduced inequalities
Openalex Percentile: Top 66%
Software-Defined Networks and 5G
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