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Measuring the Extent of Cyber-Fraud: A Discussion Paper on Potential Methods and Data Sources

Authors: Sara M. Smyth; Rebecca Carleton;

Measuring the Extent of Cyber-Fraud: A Discussion Paper on Potential Methods and Data Sources

Abstract

This research shows that current information about cyber-fraud is being funneled to a variety of different organizations, including banks, regulatory agencies and various police agencies, or is simply not recorded. There is a clear shortage of data measuring the prevalence and costs of cyber-fraud in Canada and the available information is incomplete and fragmented. The lack of reporting of cyber-fraud incidents by individual and corporate/government victims means that many cases are not recorded or represented in official crime statistics. This research demonstrates a strong need for the creation of a national centre to record and measure data relating to cyber-fraud across Canada. A central databank of known cyber-fraud offenders and cases across the country could facilitate the identification and tracking of suspects in cyber-fraud cases and could further understanding regarding when one individual, or group of individuals, is committing fraud all over the country. Ultimately, a national databank on cyber-fraud incidents could give law enforcement officials a better understanding of the types of cyber-fraud being committed in Canada.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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