TY  - EJOU
AU  - Hassan, Ali 
AU  - Nizam-Uddin, N. 
AU  - Quddus, Asim 
AU  - Hassan, Syed Rizwan 
AU  - Rehman, Ateeq Ur 
AU  - Bharany, Salil 

TI  - Navigating IoT Security: Insights into Architecture, Key Security Features, Attacks, Current Challenges and AI-Driven Solutions Shaping the Future of Connectivity
T2  - Computers, Materials \& Continua

PY  - 2024
VL  - 81
IS  - 3
SN  - 1546-2226

AB  - Enhancing the interconnection of devices and systems, the Internet of Things (IoT) is a paradigm-shifting technology. IoT security concerns are still a substantial concern despite its extraordinary advantages. This paper offers an extensive review of IoT security, emphasizing the technology’s architecture, important security elements, and common attacks. It highlights how important artificial intelligence (AI) is to bolstering IoT security, especially when it comes to addressing risks at different IoT architecture layers. We systematically examined current mitigation strategies and their effectiveness, highlighting contemporary challenges with practical solutions and case studies from a range of industries, such as healthcare, smart homes, and industrial IoT. Our results highlight the importance of AI methods that are lightweight and improve security without compromising the limited resources of devices and computational capability. IoT networks can ensure operational efficiency and resilience by proactively identifying and countering security risks by utilizing machine learning capabilities. This study provides a comprehensive guide for practitioners and researchers aiming to understand the intricate connection between IoT, security challenges, and AI-driven solutions.
KW  - Internet of Things (IoT); artificial intelligence (AI); IoT architecture; security; attacks in IoT

DO  - 10.32604/cmc.2024.057877