Applying methods of machine learning in the task of intrusion detection based on the analysis of industrial process state and ICS networking
Modern industrial control systems (ICS) are increasingly becoming targets of cyber attacks. Traditional security tools based on a signature approach are not always able to detect a new attack, the signature of which has not yet been described. In particular, this occurs during targeted attacks on in...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
University of Belgrade - Faculty of Mechanical Engineering, Belgrade
2019-01-01
|
| Series: | FME Transactions |
| Subjects: | |
| Online Access: | https://scindeks-clanci.ceon.rs/data/pdf/1451-2092/2019/1451-20921904782S.pdf |