Image carving with missing headers and missing fragments

Emre Durmus, Manoranjan Mohanty, Samet Taspinar, Erkam Uzun, Nasir Memon

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

Abstract

Although some remarkable advancements have been made in image carving, even in the presence of fragmentation, existing methods are not effective when parts (fragments) of an image are missing. This paper addresses this problem and proposes a PRNU (Photo Response Non-Uniformity)-based image carving method. The proposed technique assumes that the underlying camera fingerprint (camera sensor noise) is available prior to the carving process. Given a large number of image fragments, the camera fingerprint is used to find the position of fragments in a to-be-carved image. Using all known-position-fragments, the number of to-be-carved images is then found. The known-position-fragments and the unknown-position-fragments are placed on these images using two different greedy algorithms. Experiment with 23040 fragments shows that the proposed scheme has a true positive rate of 94.2%.

Original languageEnglish (US)
Title of host publication2017 IEEE Workshop on Information Forensics and Security, WIFS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
Volume2018-January
ISBN (Electronic)9781509067695
DOIs
StatePublished - Jan 23 2018
Event2017 IEEE Workshop on Information Forensics and Security, WIFS 2017 - Rennes, France
Duration: Dec 4 2017Dec 7 2017

Other

Other2017 IEEE Workshop on Information Forensics and Security, WIFS 2017
CountryFrance
CityRennes
Period12/4/1712/7/17

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Keywords

  • Image Carving
  • Missing Fragment
  • PRNU-Based Method

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality

Cite this

Durmus, E., Mohanty, M., Taspinar, S., Uzun, E., & Memon, N. (2018). Image carving with missing headers and missing fragments. In 2017 IEEE Workshop on Information Forensics and Security, WIFS 2017 (Vol. 2018-January, pp. 1-6). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WIFS.2017.8267665