The Use of Machine Learning in Digital Forensics: Review Paper-Reference-Cited by-同舟云学术

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The Use of Machine Learning in Digital Forensics: Review Paper

Published:2023 Issue: Volume: Page:96-113
ISSN:
Container-title:Proceedings of the 1st International Conference on Innovation in Information Technology and Business (ICIITB 2022)
language:
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Author:

Balushi Yusra Al^ORCID,Shaker Hothefa^ORCID,Kumar Basant^ORCID

Publisher

Atlantis Press International BV

Reference64 articles.

1. Joakim Kävrestad. Fundamentals of Digital Forensics. Springer, 2020.

2. Konstantinos Karampidis, Ergina Kavallieratou, and Giorgos Papadourakis. A review of image steganalysis techniques for digital forensics. Journal of information security and applications, 40:217–235, 2018.

3. Graeme Horsman. Tool testing and reliability issues in the field of digital forensics. Digital Investigation, 28:163–175, 2019.

4. Godson Kalipe, Vikas Gautham, and Rajat Kumar Behera. Predicting malarial outbreak using machine learning and deep learning approach: a review and analysis. In 2018 International Conference on Information Technology (ICIT), pages 33–38. IEEE, 2018.

5. Anand Handa, Ashu Sharma, and Sandeep K Shukla. Machine learning in cybersecurity: A review. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 9(4):e1306, 2019.

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1. Accuracy Enhancement for Image Detection and Identification in Forensic Evidence System;2024 1st International Conference on Trends in Engineering Systems and Technologies (ICTEST);2024-04-11

2. Application of Machine Learning to Extraction of Digital Forensics Evidence;2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC);2024-01-29

3. Digital Face Forgery and the Role of Digital Forensics;International Journal for the Semiotics of Law - Revue internationale de Sémiotique juridique;2023-08-06

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