Advancements in Sybil Attack Detection: A Comprehensive Survey of Machine Learning-Based Approaches in Wireless Sensor Networks

Advancements in Sybil Attack Detection: A Comprehensive Survey of Machine Learning-Based Approaches in Wireless Sensor Networks

Wireless Sensor Networks (WSNs) are used in various healthcare and military surveillance applications. As more sensitive data is transmitted across the network, achieving security becomes critical. Ensuring security is also challenging because most sensors are deployed in remote areas, making them v...

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Главные авторы:	Lapina, M. A., Лапина, М. А.
Формат:	Статья
Язык:	English
Опубликовано:	Springer Science and Business Media Deutschland GmbH 2024
Темы:	Decision Trees Unsupervised learning Deep learning K-Nearest Neighbour Reinforcement learning Semi-supervised learning Supervised learning
Online-ссылка:	https://dspace.ncfu.ru/handle/123456789/29249
Метки:	Добавить метку Нет меток, Требуется 1-ая метка записи!

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