Advancing IoT Security: A Hybrid DNA and Chaos-Based Encryption Scheme for Improved Efficiency and Security

Abstract

With the rapid rise of the Internet of Things (IoT), it is becoming important to ensure the security and privacy of data transmitted by IoT devices. By combining chaotic-based algorithms, DNA-based algorithms, RSA, and HDNARSA algorithms, this study presents a new technique for text encryption in IoT devices. The goal is to provide a robust and secure encryption mechanism for textual data delivered and stored in IoT systems. To create encryption keys, the suggested approach makes use of the features of chaotic maps. These keys are then paired with DNA-based algorithms, which use precise rules to encode the text into DNA sequences then RSA (Rivest-Shamir-Adleman) is used to further change the DNA sequences. The proposed method follows a workflow that includes key generation, encryption, IoT communication, decryption, and original text retrieval. Secure encryption keys are generated using chaotic maps for IoT devices. The text is encoded into DNA sequences, which are then encrypted using the RSA and HDNARSA algorithms. The encrypted data is transmitted over the IoT network, and the recipient device uses the corresponding decryption method to retrieve the original text. Overall, this strategy appears to be a promising solution for safeguarding textual information in IoT devices, as well as preserving the privacy and integrity of data transferred and stored inside IoT networks. It paves the way for more study into harnessing the capabilities of chaotic dynamics, DNA encoding, and well-established cryptographic methods to improve IoT security and enable safe communication in the IoT ecosystem.