A deep learning based framework for detecting and visualizing online malicious advertisement

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dc.contributor.advisorGhorbani, Ali
dc.contributor.authorZhang, Xichen
dc.date.accessioned2023-03-01T16:22:38Z
dc.date.available2023-03-01T16:22:38Z
dc.date.issued2018
dc.date.updated2023-03-01T15:01:55Z
dc.description.copyright©Xichen Zhang, 2018
dc.formattext/xml
dc.format.extentxii, 92 pages
dc.format.mediumelectronic
dc.identifier.oclc(OCoLC)1398312801en
dc.identifier.otherThesis 10164en
dc.identifier.urihttps://unbscholar.lib.unb.ca/handle/1882/13683
dc.language.isoen_CA
dc.publisherUniversity of New Brunswick
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.subject.disciplineComputer Science
dc.subject.lcshDeep learning (Machine learning)en
dc.subject.lcshInternet advertising--Detection.en
dc.subject.lcshInternet advertising--Security measures.en
dc.subject.lcshComputer security.en
dc.subject.lcshComputer networks--Security measures.en
dc.subject.lcshInformation visualization.en
dc.subject.lcshMalware (Computer software)--Detection.en
dc.subject.lcshPhishing--Detection.en
dc.subject.lcshSpam filtering (Electronic mail)en
dc.subject.lcshFraud--Detection.en
dc.subject.lcshSwindlers and swindling--Detection.en
dc.titleA deep learning based framework for detecting and visualizing online malicious advertisement
dc.typemaster thesis
thesis.degree.disciplineComputer Science
thesis.degree.fullnameMaster of Computer Science
thesis.degree.grantorUniversity of New Brunswick
thesis.degree.levelmasters
thesis.degree.nameM.C.S.

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