NDLI: Phishing and money mules

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2015 IEEE International Workshop on Information Forensics and Security (WIFS)

2014 IEEE International Workshop on Information Forensics and Security (WIFS)

2013 IEEE International Workshop on Information Forensics and Security (WIFS)

2012 IEEE International Workshop on Information Forensics and Security (WIFS)

2011 IEEE International Workshop on Information Forensics and Security

2010 IEEE International Workshop on Information Forensics and Security

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Phishing and money mules

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2009 First IEEE International Workshop on Information Forensics and Security (WIFS)

Phishing and money mules

Content Provider	IEEE Xplore Digital Library
Author	Florêncio, D. Herley, C.
Copyright Year	2010
Description	Author affiliation: Microsoft Research, One Microsoft Way, Redmond, WA, USA (Florêncio, D.; Herley, C.)
Abstract	Data breaches, phishing and spyware have compromised millions of end-user records and credentials. Mules are the preferred means for draining compromised accounts. These are unwitting accomplices who provide a stepping stone between the victim account and the attacker. The key role they play is to turn reversible traceable transactions into irreversible untraceable ones. This, together with the fraud protections enjoyed by US banking customers, generates some surprising findings. First, it is the mule's money not the victim's or the bank's money that the attacker steals. Second, mule recruitment and not credential theft appears the true bottleneck in online fraud. Third, this suggests an explanation of why stolen credentials sell so cheaply: there is a shortage of mules.
Starting Page	1
Ending Page	5
File Size	49538
Page Count	5
File Format	PDF
ISBN	9781424490783
e-ISBN	9781424490806
DOI	10.1109/WIFS.2010.5711465
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Investments Authentication Banking Face Recruitment
Content Type	Text
Resource Type	Article

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