Smart Multistage Privacy-Preserving Framework for Intrusion Detection in Multi-Domain SDN
Author:
Affiliation:
1. Department of Computer Technology, MIT Campus, Anna University, Chennai, Tamil Nadu 600044, India
Publisher
Informa UK Limited
Subject
Electrical and Electronic Engineering,Computer Science Applications,Theoretical Computer Science
Link
https://www.tandfonline.com/doi/pdf/10.1080/03772063.2023.2297380
Reference38 articles.
1. Available: https://twiki.cern.ch/twiki/pub/HEPIX/TechwatchNetwork/HtwNetworkDocuments/white-paper-c11-741490.pdf
2. J. Ashraf N. Moustafa A. D. Bukhshi and A. Javed “Intrusion detection system for SDN-enabled IoT networks using machine learning techniques ” in 2021 IEEE 25th International Enterprise Distributed Object Computing Workshop (EDOCW) . IEEE 2021 pp. 46–52.
3. Comparative study on IDS using machine learning approaches for software defined networks;Sudar K. M.;Int. J. Intell. Enterp.,2020
4. Designing a network intrusion detection system based on machine learning for software defined networks;Alzahrani A. O.;Future Internet,2021
5. An efficient flow-based multi-level hybrid intrusion detection system for software-defined networks;Latah M.;CCF Trans. Netw.,2020
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