AI-Driven Zero-Trust Security Frameworks for Industrial Internet of Things Networks: Combining Cryptographic Protection, Generative Cyber Defense, and Intelligent Threat Detection
Keywords:
Industrial Internet of Things (IIoT), Zero-Trust Security, Artificial Intelligence, Intelligent Threat Detection, Generative Cyber Defense, Cryptographic Protection, Edge Computing, Cyber-Physical SystemsAbstract
The rapid adoption of the Industrial Internet of Things (IIoT) has transformed modern industrial environments by enabling intelligent automation, real-time monitoring, and interconnected cyber-physical systems. However, the growing number of connected devices and the increasing sophistication of cyber threats have exposed significant limitations in traditional perimeter-based security models, necessitating more adaptive and resilient cybersecurity solutions. This study addresses the challenge of securing IIoT networks against advanced persistent threats, insider attacks, and AI-enabled cyberattacks by proposing an AI-driven zero-trust security framework that integrates cryptographic protection, generative cyber defense, and intelligent threat detection. The proposed framework adopts a multi-layered architecture that continuously verifies users and devices, employs robust cryptographic mechanisms for secure communication, leverages artificial intelligence for real-time anomaly detection, and utilizes generative AI techniques to proactively identify and mitigate emerging cyber threats. The research methodology combines a comprehensive review of recent advancements in zero-trust architectures, AI-based intrusion detection, blockchain-assisted security, and edge computing with the conceptual design and performance evaluation of the proposed framework. The findings demonstrate that integrating zero-trust principles with intelligent security analytics and adaptive AI models significantly enhances threat detection accuracy, reduces response latency, strengthens access control, and improves the resilience of IIoT environments against evolving cyber threats. This research contributes a comprehensive security framework that advances secure, scalable, and intelligent IIoT deployments while providing practical guidance for implementing next-generation cybersecurity strategies in Industry 4.0 and Industry 5.0 ecosystems.
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