Development of secured data transmission using machine learning-based discrete-time partially observed Markov model and energy optimization in cognitive radio networks

The cognitive radio network (CR) is a primary and promising technology to distribute the spectrum assignment to an unlicensed user (secondary users) which is not utilized by the licensed user (primary user).The cognitive radio network frames a reactive security policy to enhance the energy monitorin...

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Veröffentlicht in:	Neural computing & applications Jg. 32; H. 1; S. 151 - 161
Hauptverfasser:	Vimal, S., Kalaivani, L., Kaliappan, M., Suresh, A., Gao, Xiao-Zhi, Varatharajan, R.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Springer London 01.01.2020 Springer Nature B.V
Schlagworte:	Algorithms Artificial Intelligence Brain- Inspired computing and Machine learning for Brain Health Cognitive radio Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Computer simulation Data communications Data Mining and Knowledge Discovery Data transmission Encryption Energy Energy consumption Energy levels Image Processing and Computer Vision Machine learning Markov chains Markov processes Monitoring Network security Optimization Probability and Statistics in Computer Science Radio networks Security Wireless communication Éclat algorithm Cognitive radio networks Byzantine attack Machine learning
ISSN:	0941-0643, 1433-3058
Online-Zugang:	Volltext
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