Research Area: CyberSecurity
In the field of Cyber Security there has been a transition from the stage of Cyber Criminality to the stage of Cyber War over the last few years. According 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. This paper describes some of the results obtained at Technical University of Sofia in the implementation of project related to the application of intelligent methods for increasing the security in computer networks. The analysis of the feasibility of various Artificial Intelligence methods has shown that a method that is equally effective for all stages of the Cyber Intelligence cannot be identified. 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.
Keywords:
Cyber Threats Intelligence
Artificial Intelligence
Behaviour Assessment
Neural Networks
Sequential Feature Selection
Remote Network Monitoring
Author(s) Name: Roumen Trifonov; Ognyan Nakov; Valeri Mladenov
Journal name:
Conferrence name: 2018 International Conference on Intelligent and Innovative Computing Applications (ICONIC)
Publisher name: IEEE
DOI: 10.1109/ICONIC.2018.8601235
Volume Information:
