| Title | Analytical Choice of an Effective Cyber Security Structure with Artificial Intelligence in Industrial Control Systems |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Trifonov, Roumen, Manolov, Slavcho, Tsochev, Georgi, Pavlova, Galya, Raynova, Kamelia |
| Conference Name | 2022 10th International Scientific Conference on Computer Science (COMSCI) |
| Keywords | artificial intelligence, Behavioral sciences, Computer architecture, cyber-security, Decentralized Structures, Deep Learning, Flock Behavior, fourth industrial revolution, industrial control, industrial control system, industrial control systems, machine learning algorithms, Prediction algorithms, pubcrawl, resilience, Resiliency, Scalability |
| Abstract | The new paradigm of industrial development, called Industry 4.0, faces the problems of Cybersecurity, and as it has already manifested itself in Information Systems, focuses on the use of Artificial Intelligence tools. The authors of this article build on their experience with the use of the above mentioned tools to increase the resilience of Information Systems against Cyber threats, approached to the choice of an effective structure of Cyber-protection of Industrial Systems, primarily analyzing the objective differences between them and Information Systems. A number of analyzes show increased resilience of the decentralized architecture in the management of large-scale industrial processes to the centralized management architecture. These considerations provide sufficient grounds for the team of the project to give preference to the decentralized structure with flock behavior for further research and experiments. The challenges are to determine the indicators which serve to assess and compare the impacts on the controlled elements. |
| DOI | 10.1109/COMSCI55378.2022.9912608 |
| Citation Key | trifonov_analytical_2022 |
Analytical Choice of an Effective Cyber Security Structure with Artificial Intelligence in Industrial Control Systems