Email has grown to be a huge part of Digital Forensics and E-discovery. We can connect with others in just a few clicks and information leakage is a common thing in organisations. With several emails sent per day, how can we understand these connections? How can we visualise the type of email individuals have been sending? Can we tell a story somehow with the thousands of emails individuals have sent, received, and deleted? How can we support Digital Forensics and E-discovery? As a case study, we considered Enron Case Study.
The works presented at various venues are listed below:
Sathiyanarayanan, M., Turkay, C. and Dykes, J. (2018). Visualising E-mail Communication to Improve E-discovery. IEEE VIS, InfoVis Conference. Click Here
Sathiyanarayanan, M., Turkay, C. and Fadahunsi, O. (2018). Design and implementation of small multiples matrix-based visualisation to monitor and compare email socio-organisational relationships, IEEE, COMSNETS, 2018. Click Here
Sathiyanarayanan, M. (2017). Improving Visual Investigation Analysis of Digital Communication Data within E-discovery. IEEE Conference on Information Visualisation (InfoVis) 1-6 October, Phoenix, Arizona, USA. Click Here
Sathiyanarayanan, M. and Turkay, C. (2017). Challenges and Opportunities in using Analytics Combined with Visualisation Techniques for Finding Anomalies in Digital Communications. DESI VII Workshop on Using Advanced Data Analysis in eDiscovery & Related Disciplines to Identify and Protect Sensitive Information in Large Collections 12 June, London, UK. Click Here
Sathiyanarayanan, M., Turkay, C. and Fadahunsi, O. (2017). Design of small multiples matrix-based visualisation to monitor and compare email socio-organisational relationships, IEEE, COMSNETS, 2017. Click Here
Sathiyanarayanan, M. and Turkay, C. (2016). Determining and Visualising E-mail Subsets to Support E-discovery. IEEE VIS, InfoVis Conference. Click Here
Sathiyanarayanan, M. and Turkay, C. (2016). Is Multi-perspective Visualisation recommended for E-discovery Email Investigations? IEEE VIS 2016 Workshop - Creation, Curation, Critique and Conditioning of Principles and Guidelines in Visualization 23 October, Baltimore, Maryland, US. Click Here
The articles published in the online platforms are listed below:
Sathiyanarayanan, M. (2018). Innovations in E-discovery & Digital Forensics - Active Learning in Visual Analytics. Click Here
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) Click Here