Enhancing Data Security in Mobile Traffic Networks Through Reverse Engineering

This research enhances mobile traffic network security using reverse engineering and encryption. It analyzes vulnerabilities in evolving mobile protocols (GSM, 4G, 5G) and applies encryption schemes like AES and RSA to secure data transmission. The study also explores secure key exchange mechanisms such as Diffie-Hellman (DH) and Elliptic Curve Cryptography (ECC) and evaluates Intrusion Detection Systems (IDS) for threat detection. Tests in a Python-simulated environment confirm the effectiveness of these solutions, providing insights into balancing security and performance in dynamic mobile networks.