Genetic Encryption of Safeguarding IoT Image Data with DNA-Based Security Measures
R. Yuvarani, R Mahaveerakannan · 2024
In order to secure Internet of Things (IoT) devices, this research has developed a revolutionary lightweight encryption method that draws inspiration from the concepts of DNA. Our approach incorporates secret code utilization, SHA-256 hashing, and harnesses the inherent randomness of DNA sequences to generate robust keys resistant to attacks and difficult to decipher. A fundamental aspect of cryptography, the avalanche effect, is crucially addressed, ensuring that even minor alterations in plaintext produce vastly distinct ciphertext, thereby thwarting pattern recognition by potential attackers. Through comprehensive experimentation, the proposed algorithm has demonstrated exceptional performance across key metrics including key size, encryption speed, resistance to deformation, and efficacy of the avalanche effect, outperforming conventional encryption methods.