Defensive Future Studies

Defensive Future Studies

Applying Artificial Intelligence in the execution of Electronic Warfare Operations of the Islamic Republic of Iran Army

Document Type : Original Article

Authors
alireza mohamadi 1
morteza talebi 2
ali panahi 1
1 Instructor of Defense Management, IRI Military Command and Staff University, Tehran, Iran
2 Assistant Professor of Strategic Management, IRI Military Command and Staff University, Tehran, Iran
10.22034/dfsr.2024.2044300.1844
Abstract
Objective: This study aims to clarify how artificial intelligence can be applied in electronic warfare operations by the Islamic Republic of Iran Army, considering the requirements and characteristics of future warfare.
Methodology: This applied research utilized a descriptive approach. The study's population included senior officers in the Islamic Republic of Iran Army, all holding at least a master's degree and possessing over twenty years of experience in fields such as telecommunications, electronic warfare, electronics, computer science, and other relevant areas. Additionally, perspectives from eight experts in the field were included.
Findings: The prioritization results reveal that using artificial intelligence to identify vulnerabilities in targeted systems is of the utmost importance. This is followed by the application of fuzzy systems and genetic algorithms in signal processing, which ranks second. The third priority is the use of intelligent design algorithms for gathering information on jammers and decoys.
Conclusion: The findings suggest that artificial intelligence can significantly enhance the effectiveness of electronic warfare operations conducted by the Islamic Republic of Iran Army. Key strategies for addressing future warfare challenges include focusing on vulnerability detection of target systems, utilizing advanced algorithms for signal processing, and collecting intelligence on threats
Keywords
Artificial Intelligence
execution
Electronic Warfare Operations
Subjects
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Defensive Future Studies
Volume 10, Issue 36
Spring 2025
Pages 137-166