A security enhancement scheme for image perceptual hashing

Haibin Zhang, Hui Zhang

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

Abstract

Perceptual hashing as a new technique for the multimedia content security have been widely discussed. However, the robustness requirement of perceptual hashing brings big challenges to its security. In this paper, we propose a secure enhancement scheme for image perceptual hashing based on error correction coding. By employing error correcting code, images with similar perceptual contents can be mapped into the same hash sequence. Consequently, we no longer store original hash sequence in the database of an image authentication system but the derived redundancy-check bits and cipher of perceptual hash. Our scheme can effectively resist the adversary from finding the relationship between the input image and its hash sequence. Therefore, the chosen-plaintext attack can be avoided. Although our scheme may sacrifice some robustness of an image perceptual hashing algorithm, both theoretical analysis and experimental results illuminate that the robustness loss is still acceptable.

Original languageEnglish
Title of host publicationNCM 2009 - 5th International Joint Conference on INC, IMS, and IDC
Pages1445-1448
Number of pages4
DOIs
Publication statusPublished - 2009
Externally publishedYes
EventNCM 2009 - 5th International Joint Conference on Int. Conf. on Networked Computing, Int. Conf. on Advanced Information Management and Service, and Int. Conf. on Digital Content, Multimedia Technology and its Applications - Seoul, Korea, Republic of
Duration: 25 Aug 200927 Aug 2009

Other

OtherNCM 2009 - 5th International Joint Conference on Int. Conf. on Networked Computing, Int. Conf. on Advanced Information Management and Service, and Int. Conf. on Digital Content, Multimedia Technology and its Applications
CountryKorea, Republic of
CitySeoul
Period25/08/0927/08/09

Keywords

  • Chosen-plaintext attack
  • Error correcting code
  • Multimedia content security
  • Perceptual hashing

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