Military Science and Tactics

Military Science and Tactics

Presenting the conceptual model of using artificial intelligence technology in Ofensive cyber operations

Document Type : Research/Original/Regular Article

Authors
Hasan Mohammadi 1
ahmadreza trasoli 2
1 Assistant Professor, National Defense University, Tehran, Iran.
2 PhD in Strategic Defense Management, National Defense University, Tehran, Iran.
10.22034/qjmst.2025.2024258.2031
Abstract
Objective:Presenting a conceptual model in order to exploit artificial intelligence algorithms in cyber operations is based on the framework of miter attacks.
Method:In order to achieve the mentioned goal, first and in the stage of data acquisition by initial search in Google, Google Scholar and reliable scientific databases (Science Direct, Springer, Emerald, Taylor and Francis) articles related to artificial intelligence and offensive cyber operations are explored and in general, 121 results were found.Then, using the text theme analysis approach, 39 codes were extracted in the form of basic themes.
Findings:After combining and combining different codes, the network of research themes was extracted in the form of 18 basic themes and four organizing themes including (identification, implementation, anonymity, impact and action).Referring to the research expert community, in the form of a Delphi panel made up of 10 specialists, the quality test and validation of the categories was done.Finally, after applying the opinions of the research expert community, the conceptual model of the use of artificial intelligence technology algorithms in cyber operations was drawn.
Conclusion:The explanation of the research results shows that artificial intelligence algorithms, while reducing the role of the human agent and automating the attack steps, significantly increase the accuracy, speed and effectiveness of the attacks
Keywords
Artificial Intelligence
Artificial Intelligence Algorithm
Offensive Cyber Operations
Miter Attack Framework
Cyber Kill Chain
Subjects

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Military Science and Tactics
Volume 20, Issue 70
Winter 2025
Pages 209-240