Dataset: Digital Forensics and Artificial Intelligence: A Decade of Progress and Trends (2012-2022)
Dataset: Forensik Digital dan Kecerdasan Buatan: Satu Dekade Kemajuan dan Tren (2012-2022)
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(1) Febriandi Berutu Universitas Samudra
Indonesia
(2) * Mochammad Tanzil Multazam
Universitas Muhammadiyah Sidoarjo
Indonesia
(*) Corresponding Author
Abstract
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:
- Comprehensive dataset of 76 articles in digital forensics and artificial intelligence from 2012 to 2022.
- Analysis reveals top institutions, fields of study, and most active regions in the domain.
- Valuable resource for researchers seeking insights into the digital forensics and AI landscape.
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References
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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.
Copyright (c) 2022 Febriandi Berutu, Mochammad Tanzil Multazam
This work is licensed under a Creative Commons Attribution 4.0 International License.
