Unified ensemble federated learning with cloud computing for online anomaly detection in energy-efficient wireless sensor networks

Abstract Anomaly detection in Wireless Sensor Networks (WSNs) is critical for their reliable and secure operation. Optimizing resource efficiency is crucial for reducing energy consumption. Two new algorithms developed for anomaly detection in WSNs—Ensemble Federated Learning (EFL) with Cloud Integr...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:Journal of Cloud Computing: Advances, Systems and Applications
المؤلفون الرئيسيون: S. Gayathri, D. Surendran
التنسيق: مقال
اللغة:الإنجليزية
منشور في: SpringerOpen 2024-02-01
الموضوعات:
Wireless sensor networks
Online anomaly detection
Energy efficiency
Federated learning
Machine learning
Cloud computing
الوصول للمادة أونلاين:https://doi.org/10.1186/s13677-024-00595-y

الانترنت

https://doi.org/10.1186/s13677-024-00595-y

مواد مشابهة