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PSO-LSTM Model for MitM Attack Detection by hellenmukami5 is a document available to read on EtoBox.

What is PSO-LSTM Model for MitM Attack Detection about?

This thesis presents a Particle Swarm Optimized Long Short-Term Memory (PSO-LSTM) model designed to detect Man-in-the-Middle (MitM) attacks in Wearable Internet of Medical Things (WIoMT) networks, addressing significant cybersecurity vulnerabilities. The study demonstrates that the PSO-LSTM model outperforms a baseline LSTM model, achieving higher accuracy and lower false positive rates, making it suitable for deployment in healthcare environments. The research contributes to the development of efficient in

Author

hellenmukami5

Language

EN