E-Mail authorship attribution for computer forensics
de Vel, Olivier, Anderson, Alison M., Corney, Malcolm W., & Mohay, George M. (2002) E-Mail authorship attribution for computer forensics. In Barbara, Daniel & Jajodia, Sushil (Eds.) Applications of Data Mining in Computer Security. Kluwer Academic Publishers/Springer, Boston.
|Submitted Version (PDF 331kB) |
Administrators only | Request a copy from author
In this chapter, we briefly overview the relatively new discipline of computer forensics and describe an investigation of forensic authorship attribution or identification undertaken on a corpus of multi-author and multi-topic 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 as the 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 intratopic author categorisation.
Impact and interest:
Citation countsare sourced monthly fromand citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
Repository Staff Only: item control page