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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