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Online credit card fraud against small businesses

Kate Charlton and Natalie Taylor
ISBN 0 642 53846 8 ; ISSN 1326-6004
Canberra: Australian Institute of Criminology: 2004
(Research and public policy series, no. 60)

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List of tables

Table 1: Online trading by business type in Australia (row percentages)
Table 2: Use of manual fraud prevention methods by online traders in Australia (row percentages)
Table 3: Number and percent of victims of online credit card fraud by business type in Australia
Table 4: Logistic regression predicting online credit card fraud risk
Table 5: Coefficients for risk victimisation model
Table 6: Retailers' perceptions of banks (row percentages)
Table A1-1: Sample demographics (unweighted data)
Table A1-2: Weighting steps by business type
Table A1-3: Respondents by business type and state - weighted and unweighted (row percentages)

List of figures

Figure 1: Online trading commencement in Australia
Figure 2: Procedure of transactions involving Verified by Visa or Mastercard Securecode
Figure 3: Processes involved in bank-operated internet payment authorisation service
Figure 4: Number of incidents experienced in Australia in 2001 and 2002
Figure 5: Mean number of incidents per victim in Australia in 2001 and 2002
Figure 6: Probability of experiencing online credit card fraud
Figure 7: Mean loss (per victim that experienced a financial loss) in Australia in 2001 and 2002
Figure 8: Mean loss per incident in Australia in 2001 and 2002
Figure 9: Perceptions in Australia of liability from online credit card fraud
Figure A1-1: Flow chart of sample selection

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