Abstract:
In the current era of digital communications, the safety of token transmission is crucial especially, in securing sensitive data and in distributed systems. The classical encryption algorithms, despite their popularity, are not always effective in ensuring stringent security levels during the transmission of tokens. Communication systems are prone to many types of attacks, including brute force, replaying tokens, man-in-the-middle (MITM), and token modification, among others. In this paper, a hybrid encryption model is presented to ensure the safety of token distribution by combining three encryption algorithms: Secure Hash Algorithm (SHA-2), ChaCha20, and Rivest-Shamir-Adleman (RSA). The model is designed to overcome the weaknesses of the single encryption methods through a combination of the strengths of their methods to ensure data integrity as well as confidentiality during the transmission process. SHA-2 is used to ensure the integrity of data and prevent brute force attacks, and ChaCha20 is used for symmetric encryption of tokens. The study discusses the use of hybrid cryptography in the areas of healthcare, education, and commerce with a particular focus on the protection of data and safeguarding sensitive information, such as user authorization and authentication data. RSA is an asymmetric encryption technique employed in secure key exchange, thereby making the scheme resistant to key compromise. The hybrid encryption protocol was implemented in a controlled environment with the help of a Monte Carlo simulation, which would employ Python cryptographic libraries. Randomized attacks were implemented to test the system's resilience to see its resistance to brute force attacks, replay attacks, MITM attacks, and token modification attacks. Efficiency ratios like speed of encryption, key generation, and computational overhead were also evaluated. The findings indicate that the suggested hybrid encryption model can enhance security by 44.44% more than current encryption models, without negatively affecting system efficiency, which is a solid solution to secure the distribution of tokens in vulnerable transmission systems.
