Authentication of Digital Image using Exif Metadata and Decoding Properties

Authors

  • D. P. Gangwar  Central Forensic Science Laboratory, Sector 36-A, Chandigarh, DFSS, MHA, Government of India
  • Anju Pathania  Central Forensic Science Laboratory, Sector 36-A, Chandigarh, DFSS, MHA, Government of India

DOI:

https://doi.org//10.32628/CSEIT183815

Keywords:

Metadata, Exif, JPEG, Digital Image, Marker, Huffman, Codec

Abstract

This work presents a robust analysis of digital images to detect the modifications/ morphing/ editing signs by using the image's exif metadata, thumbnail, camera traces, image markers, Huffman codec and Markers, Compression signatures etc. properties. The details of the whole methodology and findings are described in the present work. The main advantage of the methodology is that the whole analysis has been done by using software/tools which are easily available in open sources.

References

  1. M. Harran, et al, "A method of verifying integrity and authenticating digital media" Applied Computing and Informatics, 1492018) PP 145-158.
  2. Parthiban.R "Image Authentication using JPEG Headers" International Journal of Engineering Research & Technology (ISSN:2278-0181) Vol.3 Issue 4, April 2014.
  3. Francisco Rodríguez-Santos et al, Practical implementation of a methodology for digital images authentication using forensics techniques "Advances in Computer Science: an International Journal, Vol. 4, Issue 6, No.18 , November 2015.
  4. D.S.Sellva Manoj, et all, Digitized Authentication For Image Forensics. International Journal of Scientific & Engineering Research, Volume 4, Issue 5, May-2013.

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Published

2018-12-30

Issue

Section

Research Articles

How to Cite

[1]
D. P. Gangwar, Anju Pathania, " Authentication of Digital Image using Exif Metadata and Decoding Properties, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 8, pp.335-341, November-December-2018. Available at doi : https://doi.org/10.32628/CSEIT183815