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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: May 2026
Volume 11 | Issue 5
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Impact Factor : 8.14
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| Paper Title: | AI BASED ZERO TRUST SECURITY GATE WAY FOR 5G ENABLED IOT DEVICES |
| Authors Name: | C.THIRUMAL , GOKULAPRIYA R , NESHIKA J , PREETHIKA P , SOUNDARYA S |
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IJRTI_211972
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| Published Paper Id: | IJRTI2604299 |
| Published In: | Volume 11 Issue 4, April-2026 |
| DOI: | |
| Abstract: | The growth of IoT networks utilizing 5G technology provides an unparalleled level of seamless communication between distributed edge nodes and centralized cloud-based monitoring systems. Yet, the majority of current IoT architectures continue to use traditional perimeter based security models, which assume that devices and users internal to the IoT have already been authenticated when they initially access the system, creating a massive vulnerability in an environment with many interconnected elements. In multi-nodeIoT systems, devices typically communicate with cloud-based systems for monitoring and controlling device behaviour, but this communication is usually not continuously authenticated, has limited intelligent threat detection capabilities, and only performs identity verification at the time of account set-up. User authenticationintypicalIoTapplicationsisusuallylimitedtoauser name/password combination, which is subject to credential theft, brute force attacks, and unauthorized access. Centralized control dashboards for IoT devices also pose threats of data tampering, session hijacking, and unauthorized command execution. Without implementing strong multi-factor authentication for user login,such as using one-time passwords (OTP's), an attacker can take control of critical operations and modify or delete node activity on the IoT network. For these reasons, there is an urgent requirement for an AI-based Zero-Trust Security Gateway that implements the following features: Continuous device verification,OTP-basedmulti-factoruserauthentication,encryption of all communication, and AI-enabled anomaly detection. By adding additional methods of decentralized validation and strict access control policies, XXX-X-XXXX-XXXX-X/XX/$XX.00©20XXIEEE Keywords-ZeroTrust,IoTSecurity,OTPAuthentication,Edge Intelligence, 5G Networks |
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| Cite Article: | "AI BASED ZERO TRUST SECURITY GATE WAY FOR 5G ENABLED IOT DEVICES", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.c218-c224, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604299.pdf |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2604299
Registration ID:211972
Published In: Volume 11 Issue 4, April-2026
DOI (Digital Object Identifier):
Page No: c218-c224 Country: salem, Tamil Nadu, India Research Area: Electronics & Communication Engg. Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2604299 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2604299 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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