Autors: Trifonov, R. I., S. Manolov., Tsochev, G. R., Pavlova, G. V.
Title: Artificial intelligence methods suitable for operational cyber-threat intelligence
Keywords: Artificial Intelligence, Behavior Assessment, Neural Network

Abstract: According to the opinion of the leading experts in the field of Cyber Security over the last few years there has been a transition from the stage of Cyber Criminality to the stage of Cyber War. In order to respond adequately to the new challenges, the expert community has two main approaches: to adopt the philosophy and methods of Military Intelligence, and to use Artificial Intelligence methods for counteraction of Cyber Attacks. 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. While for Tactical Cyber Threats Intelligence has been selected and experimented a Multi-Agent System, the Recurrent Neural Networks are offered for the needs of Operational Cyber Threats Intelligence.

References

    Issue

    Journal Communication & Cognition, vol. 51, issue 3, pp. 57-72, 2018, Belgium, ISBN ISSN: 0378-0880

    Вид: статия в списание, публикация в реферирано издание