A Survey On Hybrid Lightweight Security Mechanisms For Cloud-IoT Healthcare Applications

Abstract

The rapid expansion of the Internet of Things (IoT) and cloud computing has created a robust infrastructure for real-time data transmission, storage, and processing across domains like healthcare, smart cities, and industrial automation. However, this integration introduces significant security challenges, especially given the resource constraints of IoT devices. Traditional cryptographic methods struggle to balance robust security with the performance requirements of large-scale, real-time IoT-cloud environments. This paper surveys recent advancements in lightweight cryptographic frameworks aimed at addressing these challenges, focusing on hybrid cryptographic techniques that enhance data security while maintaining computational efficiency. It identifies key research gaps in scalability, real-time performance, and decentralized key management. The paper also explores the potential of chaotic encryption systems and Elliptic Curve Cryptography (ECC), proposing future research directions such as automated parameter optimization, quantum-resistant encryption, and lightweight multi-factor authentication for IoT-cloud systems. These advancements will be crucial in ensuring secure and efficient data handling in resource-constrained IoT environments.