AI-Driven Zero Trust Security for the Internet of Things: Emerging Trends and Standardization Perspective

Author(s)	Ms. Maria Sheeba V, Ms. Priyanka G
Country	India
Abstract	The exponential growth of Internet of Things (IoT) devices has created complex, highly distributed environments that challenge traditional cybersecurity models. Zero Trust Security (ZTS), which eliminates implicit trust and enforces continuous verification, has emerged as a promising paradigm. Recent advances in Artificial Intelligence (AI) further strengthen ZTS by enabling adaptive threat detection and real-time policy enforcement. This paper presents a comprehensive AI-driven Zero Trust framework for IoT systems, emphasizing emerging trends, methodology, experimental evaluation, and international standardization. Extensive analysis demonstrates the effectiveness of the proposed approach in improving detection accuracy and reducing security risks.
Keywords	Internet of Things, Zero Trust Security, Artificial Intelligence, Intrusion Detection, IoT Standards
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 8, Issue 1, January-February 2026
Published On	2026-02-13
DOI	https://doi.org/10.36948/ijfmr.2026.v08i01.68773

About IJFMR Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us		+91-9687-828-838	editor@ijfmr.com

International Journal For Multidisciplinary Research