Australian Institute of Criminology
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Cybercrime: September 2010
- Computer security incidents against Australian businesses : predictors of victimisation / Kelly Richards and Brent Davis
Australian Institute of Criminology, 2010
Summary: Draws on data from the Australian Business Assessment of Computer User Security (ABACUS) survey, to which 4,000 businesses responded, and uses probability modelling to predict victimisation likelihood.
- Internet governance in an age of cyber insecurity
Council on Foreign Relations, Sep 2010
Summary: The report outlines an agenda that the United States can pursue in concert with its allies, addressing cyber warfare, cyber crime, and state sponsored espionage through both technological and legal means.
- National Crime Victimization Survey, 2007 : identity theft reported by households, 2007 : statistical tables
Bureau of Justice Statistics, Jun 2010
Summary: In 2007, 7.9 million households, or about 6.6% of all households in the United States, discovered that at least one member had been a victim of one or more types of identity theft, a significant increase over the 2005 rate.
- Sentencing offenders convicted of child pornography and child abuse material offences / Pierrette Mizzi, Tom Gotsis and Patrizia Poletti
Judicial Commission of New South Wales, 2010
Summary: Examines the difficulties faced by judicial officers at sentence relating to the fact-finding process and the problems in assessing the seriousness of a given offence.
- Descriptive data mining on fraudulent online dating profiles
The conference, 2010
- Computer crimes / Jessica L McCurdy
American criminal law review 47(2) Spring 2010: 287-329
Summary: Discusses US federal, state and international developments in computer-related criminal law
- Fighting financial crime in the age of electronic money : opportunities and limitations / Georgio Merlonghi
Journal of money laundering control 13(3) 2010: 202-214
- Psychological influences in email fraud / Joshua J S Chang and Mark David Chong
Journal of financial crime 17(3) 2010: 337-350
Summary: Aims to explain how victims of online fraud can be influenced by judgmental heuristics and cognition when they make nonnormative or sub-optimal decisions