Interrogation of Dynamic Data Loss in Long Range Wireless Sensor Networks by Utilizing CatBoost-MLGBA to Detect Anomalies and Unusual Patterns
R Kowsalya,
C V Banupriya
Abstract:Objectives: To propose a novel AI-based quantum key distribution optimization model to detect abnormal sensor readings, communication pattern between nodes, and intrusions during data transformation in long-range wireless sensor networks (LoRA-WSNs). In order to optimize the QKD in WSNs, machine learning boosting techniques are employed to minimize data loss and maximize data integrity. Methods: The CatBoost machine learning-based gradient boosting algorithm (CatBoost-MLGBA) is employed for QKD optimization an… Show more
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