A Comparative Study of CAINE Linux: A Digital Forensics Distribution

Authors

  • Talha Saleem Faculty of Computer Science and Information Technology, Superior University, Lahore, 54000, Pakistan.
  • Zata Ul Nataqain Virtual University of Pakistan, Lahore, 54000, Pakistan.
  • Mueed Saleem Faculty of Computer Science and Information Technology, Superior University, Lahore, 54000, Pakistan.
  • Gohar Mumtaz Faculty of Computer Science and Information Technology, Superior University, Lahore, 54000, Pakistan.

Keywords:

CAINE Linux, Digital Forensics Distribution, Cybercrime Investigation, Forensic Analysis Tools, Cyber Security

Abstract

Global crimes have necessitated digital forensics to be a more important factor in solving criminal incidences hence effectively needs some measures. Some of the best-known distributions of digital forensics are CAINE (Computer Aided Investigative Environment) Linux one of the distributions contain tools developed to assist investigators to recover, analyze and preserve Data & Digital Evidence. This review article’s purpose is to describe major characteristics of CAINE Linux as the tool used for digital forensics and its performance mainly usefulness. This work also contrasts CAINE Linux with other distributions in digital forensics to show how CAINE works and the limitations when used in various forensic scenarios. As part of the analysis, the writer will attempt to understand how effective CAINE Linux is as a forensic tool based on factors such as the software’s operational capability, integration of tools and how it is supplemented with new threats. It is admired that the findings of this study will enable practitioners to select the right forensic distribution that meets the need of an investigation, hence enhancing efficiency and efficacy in cybercrime investigation.

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Published

2024-09-01

How to Cite

Talha Saleem, Zata Ul Nataqain, Mueed Saleem, & Gohar Mumtaz. (2024). A Comparative Study of CAINE Linux: A Digital Forensics Distribution. Journal of Computing & Biomedical Informatics, 7(02). Retrieved from https://jcbi.org/index.php/Main/article/view/614