Application of approaches to artificial intelligence and machine training in cyber security

  • Vasil Kadrev New Bulgarian University
  • Rosen Pasarelski New Bulgarian University
Keywords: cybersecurity, cybercrime, artificial intelligence, machine learning

Abstract

Of interest is how machine learning is used in cybersecurity for both security and criminal activities, incl. and for cyberattacks targeting machine-learning models. The aim of the development is to show how machine learning, can be applied in the context of security in terms of both protection and attack, as well as the potential threats posed to machine learning models. Results were obtained using analytical descriptive methodology based on literature sources, examining the use of artificial intelligence techniques and machine learning to increase cybersecurity, as well as the most important areas of application that improve cybersecurity. On the other hand, the features and applications of artificial intelligence and machine learning in the service of cybercriminals are considered. Regarding the contribution part, an in-depth and extensive analysis of the features and applications of artificial intelligence and machine learning from two points of view (cybersecurity and cybercrime) has been made.

References

REGE, Manjeet and Raymond Blanch K. MBAH. Machine Learning for Cyber Defense and Attack. In: Data Analytics 2018: The Seventh International Conference on Data Analytics [online]. 2018, рр. 73-78 [viewed 6 December 2021]. ISBN 978-1-61208-681-1. Ghent University. Available from: https://biblio.ugent.be/publication/8603211

KABBAS, Azzah, Atheer ALHARTHI and Asmaa MUNSHI. Artificial Intelligence Applications in Cybersecurity. International Journal of Computer Science and Network Security [online]. 2020, vol. 20(2), pp. 120-124 [viewed 6 December 2021]. Available from: http://search.ijcsns.org/07_book/html/202002/202002016.html

TRUONG, Thanh Cong, Quoc Bao DIEP and Ivan ZELINKA. Artificial Intelligence in the Cyber Domain: Offense and Defense. Symmetry [online]. 2020, vol. 12(3), p. 410 [viewed 6 December 2021]. ISSN 2073-8994. MDPI. Available from: https://www.mdpi.com/2073-8994/12/3/410

Artificial intelligence and cybersecurity: Opportunities and Challenges. Technical workshop summary report [online]. National Science and Technology Council, 2020 [viewed 6 December 2021]. Available from: https://www.nitrd.gov/pubs/AI-CS-Tech-Summary-2020.pdf

СИМЕОНОВА, Ц. Развитие на перспективните технологии в „Интернет на свързаните неща" IoT (Internet of Things). София: Асеневци, 2021. ISBN 978-619-7586-25-1.

СИМЕОНОВА, Ц. Особености на влиянието на човешкия фактор като източник на уязвимости върху информационната сигурност. Сборник доклади от университетска научна конференция 28-29 май 2020 г., В. Търново. Велико Търново: ИК на НВУ „Васил Левски”, 2020, с. 2020-2030. ISSN 2367-7481.

СИМЕОНОВА, Ц. Методи за анализ и оценка на риска в областта на киберсигурността при системи SCADA. Сборник доклади от университетска научна конференция 28-29 май 2020 г., В. Търново. Велико Търново: ИК на НВУ „Васил Левски, 2020, с. 1998-2008. ISSN 2367-7481.

ПЕТРОВ, Г. Развитие на Интернет и отворените системи. Част 1. София: Авангард Прима, 2017. ISBN 978-619-160-834-8.

СИМЕОНОВА, Ц. и В. КЪДРЕВ. Развитие на изкуствения интелект и неговото приложение в телекомуникационните мрежи и услуги. Сборник доклади от Научна конференция с международно участие на НВУ „В. Левски”, В. Търново, 27-28.05.2021. Велико Търново: ИК на НВУ „Васил Левски, 2021, с. 2376-2386. ISSN 2367-7481.

IVANOVA, Yoana. Assessment of the probability of cyberattacks on transport management systems. Publication of Union of Scientists in Bulgaria. International Journal on Information Technologies and Security. 2018, vol. 10(4), pp. 99-106. ISSN 1313-8251.

IVANOVA, Yoana. Modelling the Impact of Cyber Attacks on the Traffic Control Centre of an Urban Automobile Transport System by Means of Enhanced Cybersecurity. MATEC Web of Conferences BulTrans-2017 [online]. 2017, vol. 133 [viewed 6 December 2021]. ISSN 2261-236X. Available from: https://doi.org/10.1051/matecconf/201713307001

СИМЕОНОВА, Ц. Прилагане на дървовидни методи за интегриране на оценката на сигурността и безопасността при управлението на риска. Сборник доклади от университетска научна конференция 28-29 май 2020 г. Велико Търново: ИК на НВУ „Васил Левски“, 2020, стр. 2009-2019. ISSN 2367-7481.

Published
2021-10-03
How to Cite
Kadrev, V., & Pasarelski, R. (2021). Application of approaches to artificial intelligence and machine training in cyber security. Yearbook Telecommunications, 8, 53-64. https://doi.org/10.33919/YTelecomm.21.8.6