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- W4387218295 abstract "Abstract Cognitive radio network is a promising technology to enhance the spectrum utilization and to resolve the spectrum scarcity issues. But the malicious users play havoc with the network during spectrum sensing and demean the network performance. It is mandatory to identify such malicious attacks and address it. There have been many traditional methods to mitigate the cognitive radio network attacks. In this paper, we have surveyed advanced attack mitigation techniques like machine learning, deep learning and blockchain. Thus, by detecting and addressing the malicious activities, the throughput and overall network performance can be improved." @default.
- W4387218295 created "2023-10-01" @default.
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- W4387218295 date "2023-09-30" @default.
- W4387218295 modified "2023-10-01" @default.
- W4387218295 title "A survey on cognitive radio network attack mitigation using machine learning and blockchain" @default.
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- W4387218295 doi "https://doi.org/10.1186/s13638-023-02290-z" @default.
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