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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Belabed, A. Aimeur, E. Chikh, A. |
| Copyright Year | 2012 |
| Abstract | The number of phishing attacks against web serviceshas seen a steady increase causing, for example, a negative effecton the ability of banking and financial institutions to deliverreliable services on the Internet. This paper presents an automaticapproach detecting phishing attacks. Our approach combinesa personalized whitelisting approach with machine learningtechniques. The whitelist is used as filter that blocks phish webpages used to imitate innocuous user behavior. The phishingpages that are not blocked by the whitelist pass are furtherfiltered using a Support Vector Machine classifier designed andoptimized to classify these threats. Our experimental results showthat the proposed approach improves over the current state-ofthe-art methods. |
| Starting Page | 249 |
| Ending Page | 254 |
| File Size | 248499 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781467322447 |
| DOI | 10.1109/ARES.2012.54 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-08-20 |
| Publisher Place | Czech Republic |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Support vector machines Phishing Machine learning Search engines Feature extraction Vectors Electronic mail Support Vector Machine sensitive information whitelist IP networks Testing |
| Content Type | Text |
| Resource Type | Article |
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