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强化基于Q学习的自适应加密模型用于无线传感器网络中的网络威胁缓解.

Sreeja Balachandran Nair Premakumari1, Gopikrishnan Sundaram2, Marco Rivera3

  • 1Department of Information Technology, Karpagam College of Engineering, Myleripalayam Village, Coimbatore 641032, Tamil Nadu, India.

Sensors (Basel, Switzerland)
|April 12, 2025
PubMed
概括

本研究介绍了用于无线传感器网络 (WSN) 的自适应加密的强化学习框架. 它通过根据威胁评估动态调整加密级别来提高安全性和能源效率.

关键词:
这就是Q-learning.适应式加密是适应性的加密.能源效率是指能效的能源效率.实时威胁检测和威胁检测强化学习是一种强化学习.资源有限的网络.安全优化安全优化无线传感器网络是无线传感器网络.

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