Collusion resistant fingerprinting of digital audio

Andrew Z. Tirkel; Thomas Hall; Charles Osborne; Nicholas Meinhold; Oscar Moreno

doi:10.1145/2070425.2070430

Collusion resistant fingerprinting of digital audio

Andrew Z. Tirkel
, Thomas Hall
, Charles Osborne
, Nicholas Meinhold
, Oscar Moreno

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

8 Citations (Scopus)

Abstract

Digital fingerprinting is a technique for tracing the distribution of multimedia content, and protecting it from unauthorized manipulation. Unique identification information is embedded into each distributed copy of the signal. In a collusion attack, fingerprints are combined to remove or distort the fingerprints. Audio signals are good candidates for fingerprinting, because of the forgiving nature of the human auditory system to cross-talk between channels. We use principal components of the audio signal to construct an abstract vector space. The fingerprints are ordered rotations in that space. The rotations are determined by arrays with good correlation properties. These arrays are embedded in real audio, and are imperceptible, according to a panel of experts. These fingerprints are resistant to an averaging collusion attack by hundreds or thousands of colluders, and can withstand a worst case RandNeg attack by up to 30 colluders.

Original language	English
Title of host publication	Proceedings of the 4th international conference on Security of information and networks
Editors	Joseph Pieprzk
Place of Publication	New York NY USA
Publisher	Association for Computing Machinery (ACM)
Pages	5-12
Number of pages	8
ISBN (Print)	9781450310208
DOIs	https://doi.org/10.1145/2070425.2070430
Publication status	Published - 2011
Event	International Conference on Security of Information and Networks 2011 - Macquarie Graduate School of Management, Sydney, Australia Duration: 14 Nov 2011 → 19 Nov 2011 Conference number: 4th http://www.sinconf.org/sin2011/index.htm

Publication series

Name	International Conference Proceedings Series
Publisher	ACM

Conference

Conference	International Conference on Security of Information and Networks 2011
Abbreviated title	SIN 2011
Country/Territory	Australia
City	Sydney
Period	14/11/11 → 19/11/11
Internet address	http://www.sinconf.org/sin2011/index.htm

Keywords

array
audio
collusion
fingerprint
traitor tracing
watermark

Access to Document

10.1145/2070425.2070430

Cite this

Tirkel, A. Z., Hall, T., Osborne, C., Meinhold, N., & Moreno, O. (2011). Collusion resistant fingerprinting of digital audio. In J. Pieprzk (Ed.), Proceedings of the 4th international conference on Security of information and networks (pp. 5-12). (International Conference Proceedings Series). Association for Computing Machinery (ACM). https://doi.org/10.1145/2070425.2070430

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title = "Collusion resistant fingerprinting of digital audio",

abstract = "Digital fingerprinting is a technique for tracing the distribution of multimedia content, and protecting it from unauthorized manipulation. Unique identification information is embedded into each distributed copy of the signal. In a collusion attack, fingerprints are combined to remove or distort the fingerprints. Audio signals are good candidates for fingerprinting, because of the forgiving nature of the human auditory system to cross-talk between channels. We use principal components of the audio signal to construct an abstract vector space. The fingerprints are ordered rotations in that space. The rotations are determined by arrays with good correlation properties. These arrays are embedded in real audio, and are imperceptible, according to a panel of experts. These fingerprints are resistant to an averaging collusion attack by hundreds or thousands of colluders, and can withstand a worst case RandNeg attack by up to 30 colluders.",

keywords = "array, audio, collusion, fingerprint, traitor tracing, watermark",

author = "Tirkel, \{Andrew Z.\} and Thomas Hall and Charles Osborne and Nicholas Meinhold and Oscar Moreno",

year = "2011",

doi = "10.1145/2070425.2070430",

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series = "International Conference Proceedings Series",

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booktitle = "Proceedings of the 4th international conference on Security of information and networks",

address = "United States of America",

note = "International Conference on Security of Information and Networks 2011, SIN 2011 ; Conference date: 14-11-2011 Through 19-11-2011",

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}

Tirkel, AZ, Hall, T, Osborne, C, Meinhold, N & Moreno, O 2011, Collusion resistant fingerprinting of digital audio. in J Pieprzk (ed.), Proceedings of the 4th international conference on Security of information and networks. International Conference Proceedings Series, Association for Computing Machinery (ACM), New York NY USA, pp. 5-12, International Conference on Security of Information and Networks 2011, Sydney, New South Wales, Australia, 14/11/11. https://doi.org/10.1145/2070425.2070430

Collusion resistant fingerprinting of digital audio. / Tirkel, Andrew Z.; Hall, Thomas; Osborne, Charles et al.
Proceedings of the 4th international conference on Security of information and networks. ed. / Joseph Pieprzk. New York NY USA: Association for Computing Machinery (ACM), 2011. p. 5-12 (International Conference Proceedings Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

TY - GEN

T1 - Collusion resistant fingerprinting of digital audio

AU - Tirkel, Andrew Z.

AU - Hall, Thomas

AU - Osborne, Charles

AU - Meinhold, Nicholas

AU - Moreno, Oscar

N1 - Conference code: 4th

PY - 2011

Y1 - 2011

N2 - Digital fingerprinting is a technique for tracing the distribution of multimedia content, and protecting it from unauthorized manipulation. Unique identification information is embedded into each distributed copy of the signal. In a collusion attack, fingerprints are combined to remove or distort the fingerprints. Audio signals are good candidates for fingerprinting, because of the forgiving nature of the human auditory system to cross-talk between channels. We use principal components of the audio signal to construct an abstract vector space. The fingerprints are ordered rotations in that space. The rotations are determined by arrays with good correlation properties. These arrays are embedded in real audio, and are imperceptible, according to a panel of experts. These fingerprints are resistant to an averaging collusion attack by hundreds or thousands of colluders, and can withstand a worst case RandNeg attack by up to 30 colluders.

AB - Digital fingerprinting is a technique for tracing the distribution of multimedia content, and protecting it from unauthorized manipulation. Unique identification information is embedded into each distributed copy of the signal. In a collusion attack, fingerprints are combined to remove or distort the fingerprints. Audio signals are good candidates for fingerprinting, because of the forgiving nature of the human auditory system to cross-talk between channels. We use principal components of the audio signal to construct an abstract vector space. The fingerprints are ordered rotations in that space. The rotations are determined by arrays with good correlation properties. These arrays are embedded in real audio, and are imperceptible, according to a panel of experts. These fingerprints are resistant to an averaging collusion attack by hundreds or thousands of colluders, and can withstand a worst case RandNeg attack by up to 30 colluders.

KW - array

KW - audio

KW - collusion

KW - fingerprint

KW - traitor tracing

KW - watermark

UR - https://www.scopus.com/pages/publications/83455217332

U2 - 10.1145/2070425.2070430

DO - 10.1145/2070425.2070430

M3 - Conference Paper

AN - SCOPUS:83455217332

SN - 9781450310208

T3 - International Conference Proceedings Series

SP - 5

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BT - Proceedings of the 4th international conference on Security of information and networks

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PB - Association for Computing Machinery (ACM)

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T2 - International Conference on Security of Information and Networks 2011

Y2 - 14 November 2011 through 19 November 2011

ER -

Collusion resistant fingerprinting of digital audio

Abstract

Publication series

Conference

Keywords

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