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)

[img]
Preview
PDF
Zargari-OverviewAndComputerForensicChallenges(AM).pdf - Accepted Version
All rights reserved.

Download (358kB) | Preview
Link to published version:: https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData.2017.60
Related URLs:

    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 - Does NOT include content added after October 2018: Cultural Communication and Computing Research Institute > Communication and Computing Research Centre
    Departments - Does NOT include content added after October 2018: Faculty of Science, Technology and Arts > Department of Computing
    Identification Number: https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData.2017.60
    Page Range: 360-364
    Depositing User: Shahrzad Zargari
    Date Deposited: 26 Jan 2018 10:15
    Last Modified: 18 Mar 2021 06:05
    URI: http://shura.shu.ac.uk/id/eprint/17045

    Actions (login required)

    View Item View Item

    Downloads

    Downloads per month over past year

    View more statistics