Detection Optimization of Brute-Force Cyberattack Using Modified Caesar Cipher Algorithm Based on Binary Codes (MCBC)

Abstract

Information security is considered vital aspects that are employed to protect user credentials and digital information from cyber security threats. A Caesar cipher is an ancient cryptography algorithm, and it is susceptible to being easily broken and vulnerable to brute-force attack. Brute-force attack is a cyberattack that uses trial and error to crack passwords, login credentials, and encryption keys to unauthorized access and illegal to a system and individual accounts. However, several research has been developed to defeat the existing vulnerabilities in Caesar cipher, but are still suffering from their limitations and failing to provide a high level of attack detection and encryption strength. Therefore, Modified Caesar Cipher Algorithm Based on Binary Codes (MCBC) has been proposed to mitigate brute-force attack more optimistically based on different scenarios. First scenario, converting message to binary numbering system and the second scenario, employ binary shifting technique and then convert it to hexadecimal code. The performance metrics that were taken into consideration to evaluate the MCBC proposed algorithm are detection rate, strength rate, true positive rate and time required for decryption. The experimental results show that the proposed approach MCBC performance metrics outperformed other algorithms against brute force attack by ensuring the confidentiality of information.