Advanced Cybersecurity Techniques for Protecting Internet of Things (IoT)-Based Systems
Jamal Khan, Rashid Alam, Rashed Khan, Shreyan Das, Karim Udddin · Journal of Artificial Intelligence and Technological Development · 2026
The rapid expansion of Internet of Things (IoT)-based systems has introduced unprecedented opportunities for automation, real-time monitoring, and data-driven decision-making across diverse sectors. This study presents a comprehensive analysis of advanced cybersecurity techniques for protecting IoT-based systems, focusing on a multi-layered security architecture integrating device-level protection, network security, edge intelligence, and cloud-based resilience mechanisms. The proposed framework emphasizes a holistic approach where lightweight encryption and authentication protocols secure resource-constrained IoT devices, while intrusion detection systems (IDS) and secure communication protocols enhance network-level protection. This integration of decentralized security with intelligent analytics enhances both short-term threat response and long-term data reliability. Unlike traditional single-layer security approaches, the proposed architecture leverages cross-layer integration to address the interconnected nature of IoT environments. By combining AI-driven intrusion detection, edge computing, and blockchain-based security mechanisms, the framework provides a scalable and adaptive solution to emerging cyber threats. The study also highlights key challenges, including scalability, interoperability, and energy efficiency, while proposing future directions such as federated learning and zero-trust architectures. Overall, this research contributes to the development of resilient and intelligent cybersecurity frameworks for next-generation IoT systems