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The abstract discusses establishing a secure communication channel between devices based on similar ambient audio patterns without explicitly exchanging audio features or fingerprints. Error correcting codes are used to account for noise in derived audio fingerprints. This "fuzzy cryptography" scheme enables tolerance of fingerprint noise to be adapted based on environmental conditions.
The paper experimentally verifies the feasibility of the protocol in four realistic settings and a lab experiment. Statistical tests show fingerprints from ambient audio have high entropy. The proposed scheme provides cryptographic security in an unobtrusive way based on contextual information.