Document Type
Article
Source of Publication
Electronics (Switzerland)
Publication Date
5-1-2022
Abstract
The popularity of unique image compression features of image files opens an interesting research analysis process, given that several digital forensics cases are related to diverse file types. Of interest has been fragmented file carving and recovery which forms a major aspect of digital forensics research on JPEG files. Whilst there exist several challenges, this paper focuses on the challenge of determining the co-existence of JPEG fragments within various file fragment types. Existing works have exhibited a high false-positive rate, therefore rendering the need for manual validation. This study develops a technique that can identify the unique signature of JPEG 8 × 8 blocks using the Error Level Analysis technique, implemented in MATLAB. The experimental result that was conducted with 21 images of JFIF format with 1008 blocks shows the efficacy of the proposed technique. Specifically, the initial results from the experiment show that JPEG 8 × 8 blocks have unique characteristics which can be leveraged for digital forensics. An investigator could, therefore, search for the unique characteristics to identify a JPEG fragment during a digital investigation process.
DOI Link
ISSN
Publisher
MDPI AG
Volume
11
Issue
9
Disciplines
Computer Sciences
Keywords
digital forensics, error level analysis, file fragment identification, file-carving, JPEG fragment, JPEG signature
Scopus ID
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Azhan, Nor Amira Nor; Ikuesan, Richard Adeyemi; Razak, Shukor Abd; and Kebande, Victor R., "Error Level Analysis Technique for Identifying JPEG Block Unique Signature for Digital Forensic Analysis" (2022). All Works. 5139.
https://zuscholars.zu.ac.ae/works/5139
Indexed in Scopus
yes
Open Access
yes
Open Access Type
Gold: This publication is openly available in an open access journal/series