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CHI
2010
ACM
13 years 14 days ago
Who falls for phish?: a demographic analysis of phishing susceptibility and effectiveness of interventions
In this paper we present the results of a roleplay survey instrument administered to 1001 online survey respondents to study both the relationship between demographics and phishin...
Steve Sheng, Mandy B. Holbrook, Ponnurangam Kumara...
ICC
2009
IEEE
142views Communications» more  ICC 2009»
14 years 6 days ago
Revealing Social Networks of Spammers Through Spectral Clustering
—To date, most studies on spam have focused only on the spamming phase of the spam cycle and have ignored the harvesting phase, which consists of the mass acquisition of email ad...
Kevin S. Xu, Mark Kliger, Yilun Chen, Peter J. Woo...
FC
2006
Springer
129views Cryptology» more  FC 2006»
13 years 9 months ago
Phoolproof Phishing Prevention
Abstract. Phishing, or web spoofing, is a growing problem: the Anti-Phishing Working Group (APWG) received almost 14,000 unique phishing reports in August 2005, a 56% jump over the...
Bryan Parno, Cynthia Kuo, Adrian Perrig
IEEECIT
2010
IEEE
13 years 4 months ago
Are the Con Artists Back? A Preliminary Analysis of Modern Phone Frauds
—Phishing is the practice of eliciting a person’s confidential information such as the name, date of birth or credit card details. Typically, the phishers combine some technol...
Federico Maggi
CEAS
2008
Springer
13 years 7 months ago
Improved Phishing Detection using Model-Based Features
Phishing emails are a real threat to internet communication and web economy. Criminals are trying to convince unsuspecting online users to reveal passwords, account numbers, socia...
André Bergholz, Jeong Ho Chang, Gerhard Paa...