PinDr0p: Using single-ended audio features to determine call provenance

Proceedings of the ACM Conference on Computer and Communications Security

Volumn , Issue , 2010, Pages 109-120

  Balasubramaniyan, Vijay A ^a   Poonawalla, Aamir ^a   Ahamad, Mustaque ^a   Hunter, Michael T ^a   Traynor, Patrick ^a  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Fingerprinting; Provenance; Telephony; VoIP

Indexed keywords

AUDIO FEATURES; FINGERPRINTING; LARGE ORGANIZATIONS; MACHINE-LEARNING; NOISE PROFILE; PROVENANCE; SINGLE-ENDED; TELEPHONY; VOICE CODECS; VOIP; VOIP PHONES;

AUDIO ACOUSTICS; GLOBAL SYSTEM FOR MOBILE COMMUNICATIONS; INTERNET TELEPHONY; METADATA; TELECOMMUNICATION EQUIPMENT; TELEPHONE SETS;

VOICE/DATA COMMUNICATION SYSTEMS;

EID: 78650049411     PISSN: 15437221     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1866307.1866320     Document Type: Conference Paper

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