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@article{170412,
author = {Simran A. Sodha and Gunjani J. Vaghela},
title = {A Review on Integrating Zero-Trust Security with Artificial Intelligence in Multi-Sensor Decision-Level Data Fusion for Industrial Internet of Things (IIoT)},
journal = {International Journal of Innovative Research in Technology},
year = {2024},
volume = {11},
number = {7},
pages = {628-633},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=170412},
abstract = {The Industrial Internet of Things (IIoT) is transforming industries by enabling real-time data collection, monitoring, and decision-making through interconnected sensors and devices. However, this increased connectivity also brings significant security challenges, as IIoT systems are vulnerable to cyber attacks, unauthorized access, and data breaches. Zero-Trust security, a model that assumes no entity—inside or outside the network—should be trusted by default, offers a robust framework for securing IIoT environments. At the same time, Artificial Intelligence (AI) plays a critical role in enhancing decision-making through intelligent data analysis and anomaly detection. This review explores the integration of Zero-Trust security with AI in multi-sensor decision-level data fusion for IIoT, highlighting the synergies between these two technologies to address both security and operational challenges. By combining continuous authentication and monitoring from Zero-Trust with AI-driven decision-making, IIoT systems can enhance data integrity, optimize performance, and proactively detect security threats. The paper reviews the concepts, methodologies, and applications of this integration, examining case studies from various industries and discussing potential future directions. Ultimately, the review emphasizes the promise of a secure, intelligent, and efficient IIoT ecosystem through the convergence of Zero-Trust security and AI-enhanced multi-sensor data fusion.},
keywords = {Artificial Intelligence, Decision-Level Fusion, Industrial Internet of Things (IIoT), Zero-Trust Security.},
month = {December},
}
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