Autors: Trifonov, R. I., Slavcho Manolov., Tsochev, G. R., Pavlova, G. V.
Title: Recommendations Concerning the Selection of Artificial Intelligence Methods for Increasing of Cyber-Security
Keywords: Artificial Intelligence methods, Cyber Defense, Cyber Threat

Abstract: In the course of the implementation of a project funded by the Research Fund under the Ministry of Education and Science, on the base of multi-factor analysis of Cyber-security Threats and the adoption of military theory into Cyber-security procedures, the authors have formulated a new classification of the stages of the Cyber Defense and the classes of tasks that can be solved using Artificial Intelligence methods. Based on theoretical models and experiments with specific prototypes, the authors make recommendations for the selection of Artificial Intelligence methods appropriate for the various phases of the Cyber Defense.

References

    Issue

    21st International Conference on Computer Systems and Technologies, pp. 51-55, 2020, Bulgaria, ACM International Conference Proceeding Series, DOI 10.1145/3407982.3407986

    Цитирания (Citation/s):
    1. Drew, S. K., & Heinen, C. W. (2022). Testing Deception with a Commercial Tool Simulating Cyberspace. NAVAL POSTGRADUATE SCHOOL MONTEREY CA. - 2022 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science

    Вид: публикация в международен форум, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus