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» Improved Phishing Detection using Model-Based Features
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JCS
2010
135views more  JCS 2010»
13 years 3 months ago
New filtering approaches for phishing email
Phishing emails usually contain a message from a credible looking source requesting a user to click a link to a website where she/he is asked to enter a password or other confide...
André Bergholz, Jan De Beer, Sebastian Glah...
ICONIP
2009
13 years 2 months ago
HumanBoost: Utilization of Users' Past Trust Decision for Identifying Fraudulent Websites
In this paper, we present an approach that aims to study users' past trust decisions (PTDs) for improving the accuracy of detecting phishing sites. Generally, Web users requir...
Daisuke Miyamoto, Hiroaki Hazeyama, Youki Kadobaya...
EUROSYS
2008
ACM
14 years 1 months ago
Itrustpage: a user-assisted anti-phishing tool
Despite the many solutions proposed by industry and the research community to address phishing attacks, this problem continues to cause enormous damage. Because of our inability t...
Troy Ronda, Stefan Saroiu, Alec Wolman
WWW
2008
ACM
14 years 5 months ago
Detecting image spam using visual features and near duplicate detection
Email spam is a much studied topic, but even though current email spam detecting software has been gaining a competitive edge against text based email spam, new advances in spam g...
Bhaskar Mehta, Saurabh Nangia, Manish Gupta 0002, ...
ICCV
2007
IEEE
14 years 6 months ago
3D Model based Object Class Detection in An Arbitrary View
In this paper, a novel object class detection method based on 3D object modeling is presented. Instead of using a complicated mechanism for relating multiple 2D training views, th...
Pingkun Yan, Saad M. Khan, Mubarak Shah