Visible to the public Artificial Intelligence in Cyber Threats Intelligence

TitleArtificial Intelligence in Cyber Threats Intelligence
Publication TypeConference Paper
Year of Publication2018
AuthorsTrifonov, R., Nakov, O., Mladenov, V.
Conference Name2018 International Conference on Intelligent and Innovative Computing Applications (ICONIC)
Keywordsartificial intelligence, artificial intelligence security, Behaviour Assessment, Classification algorithms, composability, computer security, Cyber Threats Intelligence, feature extraction, Human Behavior, Information security, Metrics, Neural networks, pubcrawl, Remote Network Monitoring, Reservoirs, Resiliency, Sequential Feature Selection
Abstract

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. \cyrchar\CYRThis 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.

URLhttps://ieeexplore.ieee.org/document/8601235
DOI10.1109/ICONIC.2018.8601235
Citation Keytrifonov_artificial_2018