scholarly journals Artificial intelligence methods used in industry 4.0 in particular industrial control systems

2021 ◽  
Author(s):  
Georgi Tsochev ◽  
Maksim Sharabov
Keyword(s):  
Artificial Intelligence ◽  
Control Systems ◽  
Industry 4.0 ◽  
Industrial Control ◽  
Industrial Control Systems ◽  
Artificial Intelligence Methods

scholarly journals Use of Blockchain Mechanisms in PLC Control and Safety Critical Processes

2021 ◽  
Vol 29 (49) ◽  
pp. 1-6
Author(s):  
Dušan Horváth ◽  
Maximilián Strémy
Keyword(s):  
Control Systems ◽  
Industry 4.0 ◽  
Cyber Attacks ◽  
Global Network ◽  
Industrial Control ◽  
Industrial Control Systems ◽  
Industrial Systems ◽  
Industrial Sectors ◽  
Plc Control ◽  
Local Solutions

Abstract In a few past years, a lot of cyber-attacks on industrial systems were accomplished. The main point of vulnerability of industrial control systems (ICS) is their connection to the Internet. Standard ICS rely on local solutions; however, with the revolution in the shape of Industry 4.0 concept, there are only a few industrial sectors with no connection to the global network. Some researchers have revealed critical vulnerability of the control systems. In this paper, we briefly summarize the current situation, and introduce our solution to the check of changes in PLC via other nodes in industrial network. The way how to do it is possible through using a checksum of actual code, and comparing with the checksums stored in other nodes.

scholarly journals Behavior Based Anomaly Detection Model in SCADA System

2018 ◽  
Vol 173 ◽  
pp. 01011 ◽  
Author(s):  
Xiaojun Zhou ◽  
Zhen Xu ◽  
Liming Wang ◽  
Kai Chen ◽  
Cong Chen ◽  
...  
Keyword(s):  
Anomaly Detection ◽  
Control Systems ◽  
Supervisory Control ◽  
Industry 4.0 ◽  
Industrial Control ◽  
Industrial Control Systems ◽  
Detection Model ◽  
Scada System ◽  
Behavior Based ◽  
And Control

With the arrival of Industry 4.0, more and more industrial control systems are connected with the outside world, which brings tremendous convenience to industrial production and control, and also introduces many potential security hazards. After a large number of attack cases analysis, we found that attacks in SCADA systems can be divided into internal attacks and external attacks. Both types of attacks are inevitable. Traditional firewalls, IDSs and IPSs are no longer suitable for industrial control systems. Therefore, we propose behavior-based anomaly detection and build three baselines of normal behaviors. Experiments show that using our proposed detection model, we can quickly detect a variety of attacks on SCADA (Supervisory Control And Data Acquisition) systems.

Artificial Intelligence and Security of Industrial Control Systems

2020 ◽  
pp. 121-164 ◽  
Author(s):  
Suby Singh ◽  
Hadis Karimipour ◽  
Hamed HaddadPajouh ◽  
Ali Dehghantanha
Keyword(s):  
Artificial Intelligence ◽  
Control Systems ◽  
Industrial Control ◽  
Industrial Control Systems
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