Fingerprint Embedding Authentication with Artificial Noise: MISO Regime

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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