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An Automated Approach For Digital Forensic Analysis Of Heterogeneous Big Data, Hussam Mohammed, Nathan Clarke, Fudong Li
An Automated Approach For Digital Forensic Analysis Of Heterogeneous Big Data, Hussam Mohammed, Nathan Clarke, Fudong Li
Journal of Digital Forensics, Security and Law
The major challenges with big data examination and analysis are volume, complex interdependence across content, and heterogeneity. The examination and analysis phases are considered essential to a digital forensics process. However, traditional techniques for the forensic investigation use one or more forensic tools to examine and analyse each resource. In addition, when multiple resources are included in one case, there is an inability to cross-correlate findings which often leads to inefficiencies in processing and identifying evidence. Furthermore, most current forensics tools cannot cope with large volumes of data. This paper develops a novel framework for digital forensic analysis of heterogeneous …
Agriculture And Biological Engineering/ Graduate Students/ Bracke & Fosmire/ Purdue University/ 2012, Marianne S. Bracke, Michael Fosmire
Agriculture And Biological Engineering/ Graduate Students/ Bracke & Fosmire/ Purdue University/ 2012, Marianne S. Bracke, Michael Fosmire
Data Information Literacy Case Study Directory
This case study was comprised of three workshops for a lab in Agricultural and Biological Engineering. Data Information Literacy topics covered include developing and following a standard operating procedure, search for external data and creating metadata. Materials include a book chapter describing the case study, a data archiving checklist to follow for describing the types of data generated by the lab, a metadata entry form and an evaluation form used to gather feedback for each of the three sessions.