Fingerprint Embedding Authentication with Artificial Noise: MISO Regime
2019 IEEE Conference on Communications and Network Security (CNS)(2019)
摘要
We apply artificial noise to the fingerprint embedding authentication framework to improve information-theoretic authentication for the MISO channel. Instead of optimizing for secrecy capacity, we examine the trade-off between message rate, authentication, and key security. In this case, key security aims to limit an adversary's ability to obtain the key using a maximum likelihood decoder.
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关键词
key security,message rate,maximum likelihood decoder,artificial noise,MISO channel,information-theoretic authentication,fingerprint embedding authentication
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