Column level image authentication technique using hidden digital signatures

Sahib Khan, Muneeza Wahid, Tawab Khan, Nasir Ahmad, Muhammad Haseeb Zafar

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

4 Citations (Scopus)

Abstract

Column level image authentication technique is a new and efficient technique to authenticate the contents of an image. The proposed technique uses hidden digital signatures for this purpose. Individual signature is calculated from selected pixels for each column and are hidden in the designated pixels of the same column. The authentication of the image is confirmed by the comparison of the embedded and calculated signatures. The match found, validate the image contents and the failure detect manipulation in a specific column. The proposed technique preserved the size of image and does not introduce any additional data to it and save bandwidth. Along with authentication, proposed method is proficient to detect any type of manipulation made in a single or multiple column. It is sound enough to sense single bit amendment in an image. Moreover, the hidden digital signatures do not create any significant distortion to attract human visual system.

Original languageEnglish
Title of host publicationICAC 2018 - 2018 24th IEEE International Conference on Automation and Computing
Subtitle of host publicationImproving Productivity through Automation and Computing
EditorsXiandong Ma
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781862203426
DOIs
Publication statusPublished - Sept 2018
Externally publishedYes
Event24th IEEE International Conference on Automation and Computing, ICAC 2018 - Newcastle upon Tyne, United Kingdom
Duration: 6 Sept 20187 Sept 2018

Publication series

NameICAC 2018 - 2018 24th IEEE International Conference on Automation and Computing: Improving Productivity through Automation and Computing

Conference

Conference24th IEEE International Conference on Automation and Computing, ICAC 2018
Country/TerritoryUnited Kingdom
CityNewcastle upon Tyne
Period6/09/187/09/18

Keywords

  • Digital Signatures
  • Image Authentication
  • Manipulation Detection
  • Watermarking

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