Reliability modeling of anomaly detection algorithms for Wireless Body Area Networks
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/7973334/7985087/07985142.pdf?arnumber=7985142
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Detection of Adversarial Attacks against the Hybrid Convolutional Long Short-Term Memory Deep Learning Technique for Healthcare Monitoring Applications;Applied Sciences;2023-06-03
2. Reliability of Wireless Body Area Networks;Springer Series in Reliability Engineering;2023
3. A Correlation-Based Anomaly Detection Model for Wireless Body Area Networks Using Convolutional Long Short-Term Memory Neural Network;Sensors;2022-03-02
4. A Statistical-Based Light-Weight Anomaly Detection Framework for Wireless Body Area Networks;The Computer Journal;2021-04-19
5. Markov Models for Anomaly Detection in Wireless Body Area Networks for Secure Health Monitoring;IEEE Journal on Selected Areas in Communications;2021-02
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