Survey on SDN based network intrusion detection system using machine learning approaches

By Nasrin Sultana, Naveen K. Chilamkurti, Wei Peng, Rabei Alhadad. Peer-to-Peer Networking and Applications, 2018

460 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/8fd8fe76b3fc76adb47b1f1597e2e182a8280225

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Thippa Reddy Gadekallu
2. Gokul Yenduri
3. Kandaraj Piamrat
4. Helge Janicke
5. Shaashwat Agrawal
6. Sagnik Sarkar
7. Sweta Bhattacharya
8. Mohamed Amine Ferrag

In Computer Networks and Communications

1. Helge Janicke
2. Mohamed Amine Ferrag
3. Leandros A. Maglaras
4. Sotiris K. Moschoyiannis

Citations in the corpus

• Federated Learning for Intrusion Detection System: Concepts, Challenges and Future Directions (2021, background): “[Sultana et al.(2019)Sultana, Chilamkurti, Peng, and Alhadad] A brief survey on SDN based network intrusion detection system using machine and deep learning approaches.”
• Deep learning for cyber security intrusion detection: Approaches, datasets, and comparative study (2020, background): “Our study and four works [13], [18], [19], [20] focus on deep learning approaches that are designed for cyber security intrusion detection.”
• A Survey on Security and Privacy of 5G Technologies: Potential Solutions, Recent Advancements, and Future Directions (2020, unknown): “presented in [307].”