Distributed deep learning approach for intrusion detection system in industrial control systems based on big data technique and transfer learning
Author:
Affiliation:
1. MARS Research Lab LR17ES05, ISITCom, University of Sousse, H. Sousse, Tunisia
Publisher
Informa UK Limited
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Computer Science Applications,Computer Science (miscellaneous)
Link
https://www.tandfonline.com/doi/pdf/10.1080/24751839.2023.2239617
Reference42 articles.
1. Performance analysis of machine learning models for intrusion detection system using Gini Impurity-based Weighted Random Forest (GIWRF) feature selection technique
2. Intrusion Detection based on Graph oriented Big Data Analytics
3. Abid A. Jemili F. & Korbaa O. (2022). Distributed architecture of an intrusion detection system in industrial control systems. In C. Bădică J. Treur D. Benslimane B. Hnatkowska & M. Krótkiewicz (Eds.) Advances in computational collective intelligence (pp. 472–484). Springer International Publishing.
4. Real-time data fusion for intrusion detection in industrial control systems based on cloud computing and big data techniques
5. New Approach to Determine DDoS Attack Patterns on SCADA System Using Machine Learning
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