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) [Book Section]
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Zargari-OverviewAndComputerForensicChallenges(AM).pdf - Accepted Version
Available under License All rights reserved.
Zargari-OverviewAndComputerForensicChallenges(AM).pdf - Accepted Version
Available under License All rights reserved.
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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.
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