Developing SDN based Intrusion Detection System A methodological Review
| Main Author: | Umar Baba Umar |
|---|---|
| Format: | Article Journal |
| Terbitan: |
, 2021
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/6570152 |
Daftar Isi:
- Cyber-attacks are becoming more sophisticated and thereby presenting increasing challenges in accurately detecting intrusions. Failure to prevent the intrusions could degrade the credibility of security services, e.g. data confidentiality, integrity, and availability (Gondal et al, 2019). The overall perception is that SDN capabilities will ultimately result in improved security. However, in its raw form, SDN could potentially make networks more vulnerable to attacks and harder to protect (Buyya, 2018). Intrusion detection system “IDS” are considered as the one of the best solutions for network security (Abbas et al, 2020). The aim of study is to review different articles on intrusion detection systems. After reviewing 50 articles, we discovered that many of the articles have employed the use of KDD CUP 99 dataset which is an outed dataset. We also made recommendations on future investigations.