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Visual analysis of e-mail communication to support digital forensics & e-discovery investigation in organisations

Sathiyanarayanan, M. (2020). Visual analysis of e-mail communication to support digital forensics & e-discovery investigation in organisations. (Unpublished Doctoral thesis, City, University of London)

Abstract

The main aim of the research is to design and develop interactive visual solutions to explore the information in E-mail communication data to support E-discovery compliance in an organisation. The solutions intent to assist the world of digital forensics and investigations, which will enable users/analysts to explore, identify/find/discover interesting communication behaviour and characterise information of interest. In this research, we designed & developed software prototypes through a structured process of abstraction, design and testing, by using a well-known methodology called Design Study Methodology (DSM). We describe our analysis/approach through examples applied within the context of a real-world application domain. Doing so is intended to explore and answer a series of research questions in ways that will improve the role of visualisation in Digital Forensics and E-discovery investigations.

The work identified the knowledge gap, challenges, requirements and tasks in Digital Forensics and E-discovery involving the analysis of E-mail communication data from the unstructured interviews with the organisation domain experts and from the literature. We employed user-centered design (UCD) which involved iterative design process for 3 years and built several visual solutions based on the requirements and tasks. We evaluated the solutions by conducting an empirical study with the experts to understand E-discovery tasks, visual solutions and the interface that can help analyst, to investigate and navigate within communication data, to identify/find/discover various patterns, trends, anomalies and information that might be interesting/relevant to investigation. The solutions were deployed in the collaborator's E-mail platform.

Publication Type: Thesis (Doctoral)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments: Doctoral Theses
Doctoral Theses > School of Mathematics, Computer Science and Engineering Doctoral Theses
School of Mathematics, Computer Science & Engineering > Computer Science
Date Deposited: 08 Dec 2020 11:12
URI: https://openaccess.city.ac.uk/id/eprint/25373
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