Artificial Intelligence in IoT Security: Review of Advancements, Challenges, and Future Directions
Nitin Srinivasan
Nitin Srinivasan, Department of Computer Science, University of Massachusetts Amherst, Sunnyvale, United States.
Manuscript received on 31 May 2024 | Revised Manuscript received on 09 June 2024 | Manuscript Accepted on 15 June 2024 | Manuscript published on 30 June 2024 | PP: 14-20 | Volume-13 Issue-7, June 2024 | Retrieval Number: 100.1/ijitee.G991113070624 | DOI: 10.35940/ijitee.G9911.13070624
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The Internet of Things (IoT) has revolutionized various industries, but its rapid expansion has also exposed a vast attack surface, making it vulnerable to cyber threats. Traditional cybersecurity measures often struggle to keep pace with the dynamic and diverse nature of IoT devices. Artificial Intelligence (AI) has emerged as a powerful tool in cybersecurity, offering the potential to revolutionize threat detection, anomaly detection, intrusion prevention, and secure authentication in IoT environments. This review paper explores the latest advancements in AI techniques for IoT security, discusses the challenges and limitations of existing approaches, and highlights future research directions. By examining the intersection of AI and IoT security, this review aims to contribute to developing more effective and resilient cybersecurity solutions for the ever-expanding IoT landscape.
Keywords: Artificial Intelligence, Cybersecurity, Generative Adversarial Networks, Internet of Things
Scope of the Article: Computer Science and Applications