A Lightweight DNA Inspired Logistic Leo Based Attribute Encryption Scheme for Mutual Authentication in Smart IoT Medical System

Securing the Internet of Things (IoT) devices remain a real challenge as it is susceptible to diverse security intimidations owing to its heterogeneous nature and infrastructure-less deployment. Therefore, ensuring the authenticity, honesty, and secrecy of sensitive data in
the implemented region necessitates the establishment of a mutual authentication mechanism among linking components. Many approaches are proposed in the scientific literature to tackle threats to security in IoT smart healthcare environs. However, deploying existing methodologies in the IoT-based healthcare system requires high computation costs and less secure communication. It is therefore to develop an attribute encryption scheme that can safeguard the IoT devices against attacks in medical environments. This
paper recommends a novel lightweight and secured protocol relying on the enhanced attribute-based encryption scheme operates based on the principle of DNA-based Chaotic
Leo Attribute Encryption (DNA-CLAE) technique using the suggested architecture, authorized devices may unicast dynamic key authentication and change their keys for each
transmission cycle, securely transferring private healthcare information from the source to the destination. Additionally, utilizing widely accepted conventional pairing-based cryptography libraries (PBC), the suggested architecture is implemented on embedded Internet of Things gadgets based on Raspberry Pi and ESP8266, and it is contrasted with other contemporary cutting-edge security proprieties. A thorough and formal verification of the suggested approach is conducted using the Automated Validation of Internet Security Protocol Application (AVISPA) to assess as well as analyze the security strength
of the framework. Based on the findings, the suggested strategy has demonstrated strong protective qualities towards both proactive as well as passive threats.