An anonymous buyer-seller watermarking protocol with anonymity control

Hak Soo Ju, Hyun Jeong Kim, Dong Hoon Lee, Jong In Lim

Research output: Contribution to journalArticle

57 Citations (Scopus)

Abstract

Anonymity is one of important requirements for electronic marketplaces to offer similar privacy as current marketplace. Unfortunately, most watermarking protocols in the literature have been developed without considering a buyer's anonymity. It would be unsatisfactory for the buyer to reveal his/her identity to purchase multimedia contents. In this paper we propose an anonymous buyer-seller watermarking protocol, where a buyer can purchase contents anonymously, but anonymity control is provided, i.e., a seller can trace the identity of a copyright violator. The proposed scheme also provides unlinkability of contents purchased by a buyer. Another distinct feature of our scheme is that the identification of an illegal buyer is accomplished in a way such that the seller can directly convince a judge that the buyer has redistributed contents. This feature removes any possibility of dispute. Furthermore, when the innocent buyer is falsely accused by a malicious seller, it is possible to prove his/her innocence without attending a court and revealing any privacy.

Original languageEnglish
Pages (from-to)421-432
Number of pages12
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2587
Publication statusPublished - 2003 Dec 1

Fingerprint

Privacy
Anonymity
Watermarking
Multimedia
Dissent and Disputes
Trace
Electronics
Distinct
Requirements

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

@article{9d30ddd9ad0049208196175e2137919e,
title = "An anonymous buyer-seller watermarking protocol with anonymity control",
abstract = "Anonymity is one of important requirements for electronic marketplaces to offer similar privacy as current marketplace. Unfortunately, most watermarking protocols in the literature have been developed without considering a buyer's anonymity. It would be unsatisfactory for the buyer to reveal his/her identity to purchase multimedia contents. In this paper we propose an anonymous buyer-seller watermarking protocol, where a buyer can purchase contents anonymously, but anonymity control is provided, i.e., a seller can trace the identity of a copyright violator. The proposed scheme also provides unlinkability of contents purchased by a buyer. Another distinct feature of our scheme is that the identification of an illegal buyer is accomplished in a way such that the seller can directly convince a judge that the buyer has redistributed contents. This feature removes any possibility of dispute. Furthermore, when the innocent buyer is falsely accused by a malicious seller, it is possible to prove his/her innocence without attending a court and revealing any privacy.",
author = "Ju, {Hak Soo} and Kim, {Hyun Jeong} and Lee, {Dong Hoon} and Lim, {Jong In}",
year = "2003",
month = "12",
day = "1",
language = "English",
volume = "2587",
pages = "421--432",
journal = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
issn = "0302-9743",
publisher = "Springer Verlag",

}

TY - JOUR

T1 - An anonymous buyer-seller watermarking protocol with anonymity control

AU - Ju, Hak Soo

AU - Kim, Hyun Jeong

AU - Lee, Dong Hoon

AU - Lim, Jong In

PY - 2003/12/1

Y1 - 2003/12/1

N2 - Anonymity is one of important requirements for electronic marketplaces to offer similar privacy as current marketplace. Unfortunately, most watermarking protocols in the literature have been developed without considering a buyer's anonymity. It would be unsatisfactory for the buyer to reveal his/her identity to purchase multimedia contents. In this paper we propose an anonymous buyer-seller watermarking protocol, where a buyer can purchase contents anonymously, but anonymity control is provided, i.e., a seller can trace the identity of a copyright violator. The proposed scheme also provides unlinkability of contents purchased by a buyer. Another distinct feature of our scheme is that the identification of an illegal buyer is accomplished in a way such that the seller can directly convince a judge that the buyer has redistributed contents. This feature removes any possibility of dispute. Furthermore, when the innocent buyer is falsely accused by a malicious seller, it is possible to prove his/her innocence without attending a court and revealing any privacy.

AB - Anonymity is one of important requirements for electronic marketplaces to offer similar privacy as current marketplace. Unfortunately, most watermarking protocols in the literature have been developed without considering a buyer's anonymity. It would be unsatisfactory for the buyer to reveal his/her identity to purchase multimedia contents. In this paper we propose an anonymous buyer-seller watermarking protocol, where a buyer can purchase contents anonymously, but anonymity control is provided, i.e., a seller can trace the identity of a copyright violator. The proposed scheme also provides unlinkability of contents purchased by a buyer. Another distinct feature of our scheme is that the identification of an illegal buyer is accomplished in a way such that the seller can directly convince a judge that the buyer has redistributed contents. This feature removes any possibility of dispute. Furthermore, when the innocent buyer is falsely accused by a malicious seller, it is possible to prove his/her innocence without attending a court and revealing any privacy.

UR - http://www.scopus.com/inward/record.url?scp=35248849802&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=35248849802&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:35248849802

VL - 2587

SP - 421

EP - 432

JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SN - 0302-9743

ER -