Machine Learning in Identifying and Alleviating Cyber Threats in Warfare

Integrating machine learning (ML) into military cyber security has the potential to transform the way threats are detected and prevented completely. This study examines the efficacy of machine learning algorithms in cyber security, analyzes the obstacles encountered during their deployment, and presents empirical evidence gathered from diverse industry experts. The report intends to elucidate the present state and future developments necessary for proficient machine learning-based cyber security in combat by examining feedback from 200 specialists in the pertinent field of research.