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DOI: 10.14569/IJACSA.2020.0111141

Analysis of Steganographic on Digital Evidence using General Computer Forensic Investigation Model Framework

Author 1: Muh. Hajar Akbar
Author 2: Sunardi
Author 3: Imam Riadi

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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 11 Issue 11, 2020.

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Abstract: Steganography is one of the anti-forensic techniques used by criminals to hide information in other messages which can cause problems in the investigation process and difficulties in obtaining original information evidence on the digital crime. Digital forensic analysts are required ability to find and extract the messages that have been inserted by using proper tools. The purpose of this research is to analyze the hidden digital evidence using steganography techniques. This research uses the static forensics method by applying five stages in the Generic Forensics Investigation Model framework, namely pre-process, acquisition & preservation, analysis, presentation, and post-process as well as extracting files that have been infiltrated based on case scenarios involving digital crime. The tools used are FTK Imager, Autopsy, WinHex, Hiderman, and StegSpy. The results on the steganographic file insertion experiment of 20 files indicate that StegSpy and Hiderman are effective on the steganographic analysis of digital evidence. StegSpy can detect the presence of secret messages with 85% success rate. The extraction process using Hiderman for 18 files with containing steganographic messages had 100% successful.

Keywords: Steganography; anti forensics; general computer forensic investigation model; hiderman

Muh. Hajar Akbar, Sunardi and Imam Riadi, “Analysis of Steganographic on Digital Evidence using General Computer Forensic Investigation Model Framework” International Journal of Advanced Computer Science and Applications(IJACSA), 11(11), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0111141

@article{Akbar2020,
title = {Analysis of Steganographic on Digital Evidence using General Computer Forensic Investigation Model Framework},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0111141},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0111141},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {11},
author = {Muh. Hajar Akbar and Sunardi and Imam Riadi}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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