Lightweight Rule-Based Zero Trust Security Gateway for IoT Networks
Ramandeep kaur
, Harpreet kaur , Salliah Shafi
Zero Trust Architecture (ZTA), IoT Security, Lightweight Gateway, Rule-Based Anomaly Detection, Risk Scoring, JWT Authentication.
Internet of Things (IoT) networks continue to transform industries, and the need for an effective and secure framework is very important in the world. Billions of tiny devices are like sensors in factories, cameras in smart homes, and medical monitors in hospitals, devices that continuously share data over the internet. This digital improvement also increases the cyber-attack surface. Traditional networks depend on a security perimeter, and firewalls do not work. These networks are Vulnerable to botnets, data breaches, and all kinds of Malicious attacks and Cyber threats. Zero Trust Architecture (ZTA), the never trust, always verify principle, is improving cybersecurity. But most Zero Trust setups are built for massive industrial-grade nodes with large resources. But these resources are complex models that are difficult for simple devices, such as soil sensors or basic cameras.
To handle these limitations, this paper proposes a super-lightweight, rule-based Zero Trust security gateway Design specifically for IoT Devices. The system monitors every device's behaviour and all activity in real-time, calculates simple risk scores based on common suspicious activity, and makes decisions immediately. For normal traffic, keep a close eye on Suspicious activity, and Block immediately on confirmed threats. The Project Implementation on a functional Python prototype with simulated (IoT)virtual devices, transmitting data via a centralized security gateway. The results show the system detects abnormal patterns with High accuracy with minimal effects on resources. This proves that real Zero trust is possible without high-end infrastructure.
"Lightweight Rule-Based Zero Trust Security Gateway for IoT Networks", JETNR - JOURNAL OF EMERGING TRENDS AND NOVEL RESEARCH (www.JETNR.org), ISSN:2984-9276, Vol.4, Issue 6, page no.a855-a867, June-2026, Available :https://rjpn.org/JETNR/papers/JETNR2606110.pdf
Volume 4
Issue 6,
June-2026
Pages : a855-a867
Paper Reg. ID: JETNR_235127
Published Paper Id: JETNR2606110
Downloads: 00084
Research Area: Science All
Country: Phagwara/Kapurthala, Punjab, India
ISSN: 2984-9276 | IMPACT FACTOR: 9.87 Calculated By Google Scholar | ESTD YEAR: 2023
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.87 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: RJPN (IJPublication) Janvi Wave
