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We describe an investigation into e-mail content mining for author identification, or authorship attribution, for the purpose of forensic investigation. We focus our discussion on the ability to discriminate between authors for the case of both aggregated e-mail topics as well as across different e-mail topics. An extended set of e-mail document features(More)
This paper describes an investigation of authorship gender attribution mining from e-mail text documents. We used an extended set of predominantly topic content-free e-mail document features such as style markers, structural characteristics and gender-preferential language features together with a Support Vector Machine learning algorithm. Experiments using(More)
Information security officers of large organisations have the responsibility, inter alia, to advise senior management on the current level of organisational risk and to overview the operation of effective security systems within the organisation. Current developments in risk analysis methodologies and system security certification, e.g. ITSEC, can provide(More)
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