Classification of Ciphers using Only Cipher Text for Ciphers used in 4G & 5G Mobile Communication

The most popular forms of wireless communication are Bluetooth, infrared, satellite, mobile, and wireless network communication. Information security has significantly increased due to the sensitivity of information flow over public communication channels, especially mobile devices. Mobile devices are commonly utilized for communication. As a result, sensitive information, including social security numbers, bank account details, and passwords, is being sent and received more often via mobile devices. Mobile phone communication uses the encryption techniques of stream ciphers. This paper analyzes machine learning techniques for classifying and/or clustering 4G and 5G mobile communication ciphers using only ciphertext. The proposed technique groups encrypted texts into the appropriate encryption methods based on the statistical features of the ciphertexts. The proposed method can also be helpful when the ciphertexts' source is unclear.