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Small Data Surveillance V. Big Data Cybersurveillance, Margaret Hu
Small Data Surveillance V. Big Data Cybersurveillance, Margaret Hu
Margaret Hu
This Article highlights some of the critical distinctions between small data surveillance and big data cybersurveillance as methods of intelligence gathering. Specifically, in the intelligence context, it appears that “collect-it-all” tools in a big data world can now potentially facilitate the construction, by the intelligence community, of other individuals' digital avatars. The digital avatar can be understood as a virtual representation of our digital selves and may serve as a potential proxy for an actual person. This construction may be enabled through processes such as the data fusion of biometric and biographic data, or the digital data fusion of the …
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 …