A Big Data-inspired Spatio-temporal Story Model for Forensic Evidence Validation

Liu, Ying and Xu, Zhijie (2013) A Big Data-inspired Spatio-temporal Story Model for Forensic Evidence Validation. In: Advances in Temporal Forensic Investigations Conference, 4-5 November 2013, 3M Innovation Centre, University of Huddersfield.

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Abstract

Digital Forensic Evidence (DFE) are more than digitised computer data chunks. They may contain complicated causality relationships within specific timelines and feature domains. Recent developments in forensic science study have shown that DEF should be treated as part of the concept of “Big Data” formed by the explosively increasing electronic data generated by Internet, social networks, consumer electronics, and public surveillance systems.

Item Type:	Conference or Workshop Item (Poster)
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Schools:	School of Computing and Engineering > High-Performance Intelligent Computing School of Computing and Engineering
Related URLs:	Conference
Depositing User:	Xiaowei Wang
Date Deposited:	02 Jun 2014 12:09
Last Modified:	28 Aug 2021 19:10
URI:	https://eprints.hud.ac.uk/id/eprint/20382

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