Multimedia digital right management using selective scrambling for mobile handset

Goo Rak Kwon, Tea Young Lee, Kyoung Ho Kim, Jae Do Jin, Sung-Jea Ko

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

4 Citations (Scopus)

Abstract

In this paper, we propose a novel solution called joint encryption, in which audio and video data are scrambled efficiently by using modified phase scrambling, modified motion vector, and wavelet tree shuffling. Experimental results indicate that the proposed joint encryption technique is very simple to implement, has no adverse impact on error resiliency and coding efficiency, and produces level of security.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages1098-1103
Number of pages6
Volume3802 LNAI
DOIs
Publication statusPublished - 2005 Dec 1
EventInternational Conference on Computational Intelligence and Security, CIS 2005 - Xi'an, China
Duration: 2005 Dec 152005 Dec 19

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3802 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

OtherInternational Conference on Computational Intelligence and Security, CIS 2005
CountryChina
CityXi'an
Period05/12/1505/12/19

ASJC Scopus subject areas

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

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  • Cite this

    Kwon, G. R., Lee, T. Y., Kim, K. H., Jin, J. D., & Ko, S-J. (2005). Multimedia digital right management using selective scrambling for mobile handset. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3802 LNAI, pp. 1098-1103). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3802 LNAI). https://doi.org/10.1007/11596981_164