A buyer-seller watermarking protocol

N. Memon, Ping Wah Wong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Digital watermarks have previously been proposed for the purpose of copy protection and copy deterrence for multimedia content. Copy deterrence using digital watermarks is achieved by inserting a unique watermark into each copy of the watermark content sold which could be used to trace unauthorized copies to the erring buyer. One problem with such an approach is the fact that the buyer whose watermark has been found on unauthorized copies can claim that the unauthorized copy was created or caused (for example, by a security breach) by the seller. In this paper we propose an interactive buyer-seller protocol for invisible watermarking in which the seller does not get to know the exact watermarked copy that the buyer receives. Hence the seller cannot create copies of the original content containing the buyers watermark. However, in case the seller finds an unauthorized copy, he/she can identify the buyer from whom this unauthorized copy has originated and furthermore can also prove this fact to a third party by means of a dispute resolution protocol. Hence, the buyer cannot claim that an unauthorized copy may have originated from the seller.

Original languageEnglish (US)
Title of host publication1998 IEEE 2nd Workshop on Multimedia Signal Processing
EditorsAbeer Alwan, Antonio Ortega, C.-C. Jay Kuo, C.L. Max Nikias, Ping Wah Wong
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages291-296
Number of pages6
ISBN (Electronic)0780349199, 9780780349193
DOIs
StatePublished - 1998
Event2nd IEEE Workshop on Multimedia Signal Processing, MMSP 1998 - Redondo Beach, United States
Duration: Dec 7 1998Dec 9 1998

Publication series

Name1998 IEEE 2nd Workshop on Multimedia Signal Processing
Volume1998-December

Other

Other2nd IEEE Workshop on Multimedia Signal Processing, MMSP 1998
CountryUnited States
CityRedondo Beach
Period12/7/9812/9/98

ASJC Scopus subject areas

  • Signal Processing
  • Media Technology

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