Techniques for detecting zero day phishing websites
dc.contributor.advisor | Yong Guan | |
dc.contributor.author | Blasi, Michael | |
dc.contributor.department | Department of Electrical and Computer Engineering | |
dc.date | 2018-08-11T09:53:16.000 | |
dc.date.accessioned | 2020-06-30T02:30:16Z | |
dc.date.available | 2020-06-30T02:30:16Z | |
dc.date.copyright | Thu Jan 01 00:00:00 UTC 2009 | |
dc.date.embargo | 2013-06-05 | |
dc.date.issued | 2009-01-01 | |
dc.description.abstract | <p>Phishing is a means of obtaining confidential information through fraudulent web sites that appear to be legitimate. There are many phishing detection techniques available, but current practices leave much to be desired. A central problem is that web browsers rely on a black list of known phishing sites, but some phishing sites have a lifespan as short as a few hours. A faster recognition system is needed by the web browser to identify zero day phishing sites which are new phishing sites that have not yet been discovered.</p> <p>This research improves upon techniques used by popular anti-phishing software and introduces a new method of detecting fraudulent web pages using cascading style sheets (CSS). Current phishing detection techniques are examined and a new detection method is implemented and evaluated against hundreds of known phishing sites.</p> | |
dc.format.mimetype | application/pdf | |
dc.identifier | archive/lib.dr.iastate.edu/etd/10689/ | |
dc.identifier.articleid | 1734 | |
dc.identifier.contextkey | 2806932 | |
dc.identifier.doi | https://doi.org/10.31274/etd-180810-2141 | |
dc.identifier.s3bucket | isulib-bepress-aws-west | |
dc.identifier.submissionpath | etd/10689 | |
dc.identifier.uri | https://dr.lib.iastate.edu/handle/20.500.12876/24895 | |
dc.language.iso | en | |
dc.source.bitstream | archive/lib.dr.iastate.edu/etd/10689/Blasi_iastate_0097M_10527.pdf|||Fri Jan 14 18:25:55 UTC 2022 | |
dc.subject.disciplines | Electrical and Computer Engineering | |
dc.subject.keywords | identity theft | |
dc.subject.keywords | internet fraud | |
dc.subject.keywords | internet security | |
dc.subject.keywords | phishing | |
dc.subject.keywords | web security | |
dc.title | Techniques for detecting zero day phishing websites | |
dc.type | thesis | en_US |
dc.type.genre | thesis | en_US |
dspace.entity.type | Publication | |
relation.isOrgUnitOfPublication | a75a044c-d11e-44cd-af4f-dab1d83339ff | |
thesis.degree.level | thesis | |
thesis.degree.name | Master of Science |
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