An overview and computer forensic challenges in image steganography

ABDULLAHI YARI, Imrana and ZARGARI, Shahrzad (2017). An overview and computer forensic challenges in image steganography. In: Proceedings, 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData). IEEE, 360-364. (In Press)

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Link to published version:: https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData.2017.60

Abstract

The development of powerful imaging tools, editing images for changing their data content is becoming a mark to undertake. Tempering image contents by adding, removing, or copying/moving without leaving a trace or unable to be discovered by the investigation is an issue in the computer forensic world. The protection of information shared on the Internet like images and any other confidential information is very significant. Nowadays, forensic image investigation tools and techniques objective is to reveal the tempering strategies and restore the firm belief in the reliability of digital media. This paper investigates the challenges of detecting steganography in computer forensics. Open source tools were used to analyze these challenges. The experimental investigation focuses on using steganography applications that use same algorithms to hide information exclusively within an image. The research finding denotes that, if a certain steganography tool A is used to hide some information within a picture, and then tool B which uses the same procedure would not be able to recover the embedded image.

Item Type: Book Section
Research Institute, Centre or Group: Cultural Communication and Computing Research Institute > Communication and Computing Research Centre
Departments: Faculty of Science, Technology and Arts > Computing
Identification Number: https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData.2017.60
Depositing User: Shahrzad Zargari
Date Deposited: 26 Jan 2018 10:15
Last Modified: 01 Feb 2018 00:21
URI: http://shura.shu.ac.uk/id/eprint/17045

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