Next-Gen Intrusion Detection: MHCEGRU in Wireless Sensor Networks!
The MHCEGRU-based intrusion detection framework represents a breakthrough in securing Wireless Sensor Networks (WSNs). By combining Multi-Head Convolutional Extraction (MHCE) with Gated Recurrent Units (GRU), this next-generation model delivers superior feature extraction, real-time anomaly detection, and adaptive learning. Its hybrid deep-learning architecture enhances detection accuracy, reduces false alarms, and ensures robust protection against evolving threats—making MHCEGRU a powerful solution for modern IoT and smart-environment security.
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