Revolutionizing Morse Code Security: Dual-Layer Encryption with AES and Machine Learning

Morse code is a method used in telecommunication to encode text characters as sequences of two different signal durations, called dots and dashes, or dits and dahs. It is a well-known, traditional method of communication that is frequently connected to radio transmission and telegraphy. In today's world, to protect sensitive data from cyber-attacks and maintain privacy and integrity in digital conversations, transactions, and storage, encryption and decryption are essential. These procedures provide security and build user confidence in this age of cybercrime by ensuring that their data is protected from unauthorized access. Advanced Encryption Standard (AES) is a popular encryption model which to date has been trusted for its effectiveness in safe-guarding sensitive data in digital communications and storage. AES Modern innovations also include other new mechanisms like - artificial intelligence (AI) to support pattern recognition, which later reduces the need for human decryption efforts for decryption and also improves the speed and efficiency of decryption of encrypted data. Various techniques such as artificial intelligence or machine learning are also used in decryption techniques. In the current interconnected digital environment, this integration contributes not only to enhancing the efficiency of encrypting but also allows for faster decryption of data for accurate and timely transmission of data. To make this research more realistic, data is transmitted between two systems using a wireless LAN connection. Besides this, the evaluation of these models is done based on the time taken for the encryption process and decryption process to ensure the efficiency is optimally vested in real life.