| Title | Artificial Intelligence for SDN Security: Analysis, Challenges and Approach Proposal |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | SAHBI, Amina, JAIDI, Faouzi, BOUHOULA, Adel |
| Conference Name | 2022 15th International Conference on Security of Information and Networks (SIN) |
| Date Published | nov |
| Keywords | artificial intelligence, Computer architecture, Deep Learning, Heuristic algorithms, machine learning, machine learning algorithms, Protocols, pubcrawl, resilience, Resiliency, Scalability, Schedules, SDN security, security, Software algorithms, Software Defined Networks, Violations Detection |
| Abstract | The dynamic state of networks presents a challenge for the deployment of distributed applications and protocols. Ad-hoc schedules in the updating phase might lead to a lot of ambiguity and issues. By separating the control and data planes and centralizing control, Software Defined Networking (SDN) offers novel opportunities and remedies for these issues. However, software-based centralized architecture for distributed environments introduces significant challenges. Security is a main and crucial issue in SDN. This paper presents a deep study of the state-of-the-art of security challenges and solutions for the SDN paradigm. The conducted study helped us to propose a dynamic approach to efficiently detect different security violations and incidents caused by network updates including forwarding loop, forwarding black hole, link congestion, network policy violation, etc. Our solution relies on an intelligent approach based on the use of Machine Learning and Artificial Intelligence Algorithms. |
| DOI | 10.1109/SIN56466.2022.9970501 |
| Citation Key | sahbi_artificial_2022 |
Artificial Intelligence for SDN Security: Analysis, Challenges and Approach Proposal