INTERNATIONAL JOURNAL OF INFORMATION AND COMMUNICATION TECHNOLOGIES

RECONSTRUCTING ATTACK VECTORS USING GENETIC PROGRAMMING

Authors

  • Y. Churakova Royal Institute of Technology, Stockholm, Sweden; https://orcid.org/0000-0003-0137-1252
  • O. Novikov PhD student, Department of Computer Science, Blekinge Institute of Technology
  • O. Baranovskyi Department of Computer Science, Blekinge Institute of Technology
  • T.V. Babenko Doctor of Sciences, professor, Department of Cybersecurity, International Information Technology University
  • N.Y. Askarbekova International Information Technology University

DOI:

https://doi.org/10.54309/IJICT.2025.21.1.015

Keywords:

MITTRE ATT&CK, genetic programming, genetic algorithm, attack vectors, attack prediction.

Abstract

This paper presents a novel approach for detecting and predicting attack vectors based on genetic programming. The proposed method utilizes a genetic algorithm to evolve a set of rules that predict attack vectors over the system based on caught indicators of compromise. The generated rules are then used to identify potential attack vectors and predict how it started and how it will develop in the future. This research aims to enhance the accuracy and efficiency of existing attack reconstruction methods. The proposed approach is evaluated using real-world attack data.

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Published

2024-03-15

How to Cite

Y. Churakova, Y. C., O. Novikov, O. Baranovskyi, T.V. Babenko, & N.Y. Askarbekova. (2024). RECONSTRUCTING ATTACK VECTORS USING GENETIC PROGRAMMING. INTERNATIONAL JOURNAL OF INFORMATION AND COMMUNICATION TECHNOLOGIES, 6(1), 226–244. https://doi.org/10.54309/IJICT.2025.21.1.015
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