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Game-Based Adaptive Anomaly Detection by Dayanand K s is a document available to read on EtoBox.

This document presents a game-based adaptive anomaly detection approach for Wireless Body Area Networks (WBAN) aimed at improving the reliability of medical IoT devices. The proposed method utilizes a two-level system that incorporates spatiotemporal correlations among sensor readings to accurately detect anomalies while minimizing false alarms and energy consumption. Simulation results demonstrate the effectiveness of this approach in achieving high detection accuracy and low false alarm rates in dynamic h

Author
Dayanand K s
Language
EN