S.O.P.H.I.E.: An Integrated AI-Based System for Military Aircraft Optimization and Secure Communications

The advancement of artificial intelligence (AI) and machine learning (ML) in defense technology has enabled enhanced aircraft performance monitoring, threat detection, and secure communication. This paper presents S.O.P.H.I.E. (Series One Processor Hyper Intelligence Encryptor), an integrated AI based system designed for military aircraft and fighter jets. S.O.P.H.I.E. consists of four key subsystems: Aircraft Engine Remaining Usable Life Prediction, Military Aircraft Detection, Micro-Doppler Based Target Classification, and Secure Two Way Data Link. The system leverages deep learning models for predictive maintenance, convolutional neural networks (CNNs) for aircraft detection, radar signal processing for target classification, and advanced encryption for secure military communication. Experimental results demonstrate the system’s efficiency in enhancing aircraft safety, operational readiness, and data security. The proposed framework provides a scalable approach to optimizing defense aviation operations, ensuring reliability in critical missions.