Proceedings of the 1st International Conference on Innovation in Information Technology and Business (ICIITB 2022)

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The Use of Machine Learning in Digital Forensics: Review Paper

Authors
Yusra Al Balushi1, *, Hothefa Shaker1, Basant Kumar1
1Modern College of Business and Science, 3 Bawshar St, Muscat, 133, Oman
*Corresponding author. Email: 20202196@mcbs.edu.om
Corresponding Author
Yusra Al Balushi
Available Online 30 January 2023.
DOI
10.2991/978-94-6463-110-4_9How to use a DOI?
Keywords
Digital Forensics; Machine learning Algorithms; Investigation; Digital Evidence; Swarm Intelligence
Abstract

With the increase of cybercrimes in the current years, digital forensics has become an important matter to study in order achieve quality evidence. Forensic investigators face difficulties with data collection and analysis to reconstruct events. Due to humans’ immense interaction on a daily basis, machine learning allows investigators to perform more effective and efficient investigations using various algorithms. Machine learning is a subset of the artificial intelligence field. It is a scientific discipline focusing on developing computer models and algorithms that can perform specific tasks without programming, such as dataset training and testing, and it’s potential to aid in investigations. This paper reviews various machine learning techniques that examine and analyze digital evidence during the investigation process. Each machine learning algorithm works on a specific area of digital forensics based on the features, it overcomes complexity, data volume, time-lining, correlation, consistency, etc. moreover, this study compares machine learning algorithms in terms of standard criteria.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 1st International Conference on Innovation in Information Technology and Business (ICIITB 2022)
Series
Advances in Computer Science Research
Publication Date
30 January 2023
ISBN
10.2991/978-94-6463-110-4_9
ISSN
2352-538X
DOI
10.2991/978-94-6463-110-4_9How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Yusra Al Balushi
AU  - Hothefa Shaker
AU  - Basant Kumar
PY  - 2023
DA  - 2023/01/30
TI  - The Use of Machine Learning in Digital Forensics: Review Paper
BT  - Proceedings of the 1st International Conference on Innovation in Information Technology and Business (ICIITB 2022)
PB  - Atlantis Press
SP  - 96
EP  - 113
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-110-4_9
DO  - 10.2991/978-94-6463-110-4_9
ID  - Balushi2023
ER  -