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Filters: Author is Yoshinov, Radoslav  [Clear All Filters]
2022-06-09
Trifonov, Roumen, Manolov, Slavcho, Yoshinov, Radoslav, Tsochev, Georgy, Pavlova, Galya.  2021.  Applying the Experience of Artificial Intelligence Methods for Information Systems Cyber Protection at Industrial Control Systems. 2021 25th International Conference on Circuits, Systems, Communications and Computers (CSCC). :21–25.
The rapid development of the Industry 4.0 initiative highlights the problems of Cyber-security of Industrial Computer Systems and, following global trends in Cyber Defense, the implementation of Artificial Intelligence instruments. The authors, having certain achievement in the implementation of Artificial Intelligence tools in Cyber Protection of Information Systems and, more precisely, creating and successfully experimenting with a hybrid model of Intrusion Detection and Prevention System (IDPS), decided to study and experiment with the possibility of applying a similar model to Industrial Control Systems. This raises the question: can the experience of applying Artificial Intelligence methods in Information Systems, where this development went beyond the experimental phase and has entered into the real implementation phase, be useful for experimenting with these methods in Industrial Systems.
2019-12-09
Tsochev, Georgi, Trifonov, Roumen, Yoshinov, Radoslav, Manolov, Slavcho, Pavlova, Galya.  2019.  Improving the Efficiency of IDPS by Using Hybrid Methods from Artificial Intelligence. 2019 International Conference on Information Technologies (InfoTech). :1-4.

The present paper describes some of the results obtained in the Faculty of Computer Systems and Technology at Technical University of Sofia in the implementation of project related to the application of intelligent methods for increasing the security in computer networks. Also is made a survey about existing hybrid methods, which are using several artificial intelligent methods for cyber defense. The paper introduces a model for intrusion detection systems where multi agent systems are the bases and artificial intelligence are applicable by the means simple real-time models constructed in laboratory environment.