Multi-Topic E-mail Authorship Attribution Forensics
de Vel, Olivier, Anderson, Alison M., Corney, Malcolm W., & Mohay, George M. (2001) Multi-Topic E-mail Authorship Attribution Forensics. In ACM COnference on Computer Security - Workshop on Data Mining for Security Applications, November 8, 2001, Philadelphia, PA, USA.
In this paper we describe an investigation of forensic authorship identification or categorisation undertaken on multitopic e-mail documents. We use an extended set of e-mail document features such as structural characteristics and linguistic patterns together with a Support Vector Machine learning algorithm. Experiments on a number of e-mail documents generated by different authors on a set of topics gave promising results for both inter- and intra-topic author categorisation.
Impact and interest:
Citation counts are sourced monthly from and citation databases.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
Full-text downloads displays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.
Repository Staff Only: item control page