Autor(s):

Yordan Shterev, “Vasil Levski” National Military University, Veliko Tarnovo, Bulgaria, jshterev@abv.bg

https://doi.org/10.55630/STEM.2024.0610

Abstract:

    The article presents, summarizes and develops technological concepts of cyber security based on machine learning, data processing and analysis. The seven steps of cyber attacks, use of key techniques of data analysis in cyber defense, application of data processing and analysis in information security and some tools used are presented. Applying data processing and analysis as well as extracting dependencies from them in the field of cyber security has some advantages and disadvantages wich are indicated. A common scheme for data analysis is introduced. Main types of penetration of cyberattacks are involved. Cyber attack models abuse detection and anomaly detection are presented too. Тhree types of anomalies the timing, the number, and the pattern(s) are revealed and examples are pointed.

Keywords:

Cyber Security; Machine Learning; Data Processing and Analysis;

Received:

25-07-2024

Accepted:

25-09-2024

Published:

20-12-2024

Cite (APA style):

Shterev, Y. (2024). Data Mining in Cybersecurity, Science Series "Innovative STEM Education", volume 06, ISSN: 2683-1333, Institute of Mathematics and Informatics – Bulgarian Academy of Sciences, pp. 99-107, DOI: https://doi.org/10.55630/STEM.2024.0610

PDF file address:

http://www.math.bas.bg/vt/stemedu/books/06/STEM.2024.0610.pdf