Daubert Tests on Open Source vs Closed Source
The article by Carrier, 2003, explores the use of open source tools in software utilized for digital forensic analysis. Carrier argues that these tools are effective in determining whether or not a crime was committed. Their usage in a court of law are recommended because they can meet legal requirements. In this article, Carrier examines how open source tools satisfy Daubert guidelines as compared to closed source tools. Closed source tools usually come with a code which makes it difficult for users to navigate through them for efficient use. He concludes that open source tools comprehensively satisfy Daubert guidelines contrary to the closed source tools (Carrier, 2003).
Mason et al. 2007, also highlights the applicability of open source tools in comparison to closed source tools and how they satisfy Daubert guidelines. In this article, an exploration of open source tools is done alongside two other tools used in forensic digital analysis. The requirements of the tools regarding legal guidelines are established and considerations are made utilizing open source tools. Mason et al. 2007, perform an analysis of these tools in an academic environment to help in assessing the effectiveness of their effectiveness. The study concludes that open source tools are clear and meet Daubert guidelines in forensic evidence verification (Manson et al., 2007).
Lower levels of forensic examination have also been used to analyze open source tools and closed source tools. According to Singh et al. 2015, open source tools are more effective in the investigation since they can satisfy legal requirements. The authors in this article recommend the use of open source tools because of their reliability and effectiveness as compared to closed source tools (Singh et al., 2015).
References
Carrier, B. (2003). Open source digital forensics tools. The legal argument.
Manson, D., Carlin, A., Ramos, S., Gyger, A., Kaufman, M., & Treichelt, J. (2007, January). Is the open way a better way? Digital forensics using open source tools. In 2007 40th Annual Hawaii International Conference on System Sciences (HICSS’07) (pp. 266b-266b). IEEE.
Singh, V., Tarannum, A., & Saran, V. (2015). Efficiency of open source tools for Recovery of Unconventional deleted data: A Review.