Enhancing Trust and Lightweight Security in Green IoT: Models for Sustainable Computing
Amrutanshu Panigrahi, Nitish Vashisht, Shalini, Amrutha V Nair, S. Gopinath, Deepak Bhanot · 2025
Internet of Things (IoT) technology has emerged into sustainable computing environments as ‘Green IoT’ which is energy-efficient and eco-friendly. Nevertheless, advances in IoT integration in sensitive areas bring into question the issues of security and privacy, which are very important factors in Green IoT systems. The conventional security models envisage models that are very much computation intensive, and this proves very disadvantageous to the low-end devices that have limited computational and power capabilities. This research outlines a way in which trust can be established and lightweight security models applicable to Green IoT applications can be introduced. Existing protocols in this framework employ cryptographic algorithms, trust management processes, and machine learning algorithms to offer a smart approach to choose appropriate security settings for data sensitivity and capabilities of devices. The proposed models are to open safe channels for communication, verify the data authenticity, protect users, and conserve energy. Simulations prove the effectiveness of the framework in energy management and security, establishing a superior position in regards to scalability and resources compared to the prior models. In this context, this research advances sustainable computing by proposing a flexible, trust-promoting, and low overhead-security solution suitable for Green IoT requirements.