Febriandi Berutu (1), Mochammad Tanzil Multazam (2)
This data article aims to streamline research on Digital Forensics and Artificial Intelligence by providing a comprehensive dataset derived from Lens.org. Using a three-step filtering process based on document type, publication date range, and subject matter, a total of 76 articles published between 2012 and 2022 were extracted. The analysis revealed that the University of Lausanne was the top institution, computer science was the dominant field of study, and the United Kingdom was the most active region in this domain. This dataset is valuable for researchers and practitioners seeking insights into the digital forensics and artificial intelligence landscape.
Highlights:
Mitchell, F., "The Use of Artificial Intelligence in Digital Forensics: An Introduction," Digital Evidence & Elec. Signature L. Rev., vol. 7, pp. 35, 2010.
Hoelz, B. W., Ralha, C. G., and Geeverghese, R., "Artificial Intelligence Applied to Computer Forensics," in Proceedings of the 2009 ACM Symposium on Applied Computing, 2009, pp. 883-888.
Rughani, P. H., "Artificial Intelligence Based Digital Forensics Framework," International Journal of Advanced Research in Computer Science, vol. 8, no. 8, 2017.
Hall, S. W., Sakzad, A., and Choo, K.-K. R., "Explainable Artificial Intelligence for Digital Forensics," Wiley Interdisciplinary Reviews: Forensic Science, vol. 4, no. 2, e1434, 2022.