Mr Malcolm Corney
Faculty of Education,
Professional Experience Office
Biography
Research theme: Information, SecurityResearch discipline: Computer Science
Research area
Fraud detection in enterprise systems. Enterprise systems software such as SAP is used widely for accounting, HR and other uses and is subject to fraudulent activities by users of the system. This research aims to detect instances of fraudulent behaviour by analysing log files recorded by such systems.
Personal details
Positions
- Practice Teaching
Faculty of Education,
Faculty of Education,
Professional Experience Office
Keywords
authorship attribution, computer forensics, computer log analysis, data mining, e-mail analysis, event analysis, fraud detection, machine learning, text analysis
Discipline
Computer Software
Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2008
Qualifications
- Master of Information Technology (Research) (Queensland University of Technology)
- Graduate Diploma in Computing Science with Distinction (Queensland University of Technology)
- Bachelor of Applied Science - Applied Chemistry (Queensland University of Technology)
Selected publications
- Corney M, Mohay G, Clark A, (2011) Detection of anomalies from user profiles generated from system logs, Proceedings of the Ninth Australasian Information Security Conference, pp. 23-31.
- Khan R, Corney M, Clark A, Mohay G, (2009) A role mining inspired approach to representing user behaviour in ERP systems, Proceedings of Asia Pacific Industrial Engineering & Management Systems Conference 2009, pp. 2541-2552.
- DeVel O, Anderson A, Corney M, Mohay G, (2002) E-Mail Authorship Attribution for Computer Forensics. In D Barbara & S Jajodia, Applications of Data Mining in Computer Security, Kluwer Academic Publishers, pp. 229-250.
- Corney M, DeVel O, Anderson A, Mohay G, (2002) Gender-Preferential Text Mining of E-Mail Discourse, Computer Security Applications Conference, pp. 282-292.
- De Vel O, Corney M, Anderson A, Mohay G, (2002) Language and Gender Author Cohort Analysis of e-mail for Computer Forensics, Proceedings of Digital Forensics Research Workshop, pp. 1-16.
- de Vel O, Anderson A, Corney M, Mohay G, (2001) Mining E-Mail Content for Author Identification Forensics, SIGMOD Record, pp. 1-10.
- De Vel O, Anderson A, Corney M, Mohay G, (2001) Multi-Topic E-mail Authorship Attribution Forensics, Proceedings ACM Conference on Computer Security - Workshop on Data Mining for Security Applications.
QUT ePrints
For more publications by Malcolm, explore their research in QUT ePrints (our digital repository).