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CYBERMIND: AI-Enabled Zero Trust Intrusion Detection for Industrial IoT Networks | Synapse

February 25, 2026Open Access

CYBERMIND: AI-Enabled Zero Trust Intrusion Detection for Industrial IoT Networks

KAKeerthika N A

Key Points

The research aims to assess the efficiency of AI-driven intrusion detection systems in industrial IoT environments.
Evaluation of zero trust framework in IoT networks
Integration of AI for real-time threat detection
Testing across various industrial scenarios
Significant reduction in undetected intrusions
Improved response times to security threats
Increased overall security compliance in industrial settings

Abstract

Explore the article titled CYBERMIND: AI-Enabled Zero Trust Intrusion Detection for Industrial IoT Networks from IJIRT Volume 12, Issue 9. This study evaluates the effectiveness of teaching programs on waste management knowledge among women.

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Keerthika N A (Fri,) studied this question.

synapsesocial.com/papers/699e90eff5123be5ed04e365 https://doi.org/https://doi.org/10.64643/ijirtv12i9-192295-459

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