Latent Semantic Analysis and Keyword Extraction for Phishing Classication Gast on LHuillier Alejandro Hevia Department of Computer Science University of Chile Blanco Encalada Santiago Chile Email glh - PDF document

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Latent Semantic Analysis and Keyword Extraction for Phishing Classication Gast on LHuillier Alejandro Hevia Department of Computer Science University of Chile Blanco Encalada  Santiago Chile Email glh
Latent Semantic Analysis and Keyword Extraction for Phishing Classication Gast on LHuillier Alejandro Hevia Department of Computer Science University of Chile Blanco Encalada  Santiago Chile Email glh

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Presentation on theme: "Latent Semantic Analysis and Keyword Extraction for Phishing Classication Gast on LHuillier Alejandro Hevia Department of Computer Science University of Chile Blanco Encalada Santiago Chile Email glh"— Presentation transcript


ORKNowadays,inthecyber-crime keepraisingastheinternetpenetrationinoureverydaylifeincreases.DifferenttextminingtechniquesforphishingÞlteringhavebeenproposed.In[1],LogisticRegression,SupportVectorMachines(SVMs),andRandomForestsareusedtoestimateclassiÞersforthecorrectlabelingofemailmessages.Byusingofmoresophisticatedtextminingtechniques,Bergholzetal.([3],[4])proposedanovelcharacterizationofemailsusingaClass-Topicmodel.Forphishingfeatureextractionseveralmethodologieshavebeendeveloped[1],[2],[4],[7],while combinationofstructuralbasicfeatures$,whichareinde-pendentfromtheothercontentbasedfeaturesset#,!and".However,thesesetsarenotindependentfromeachother.Theyarerepresentedbybinaryfeatures,indicatingwhetherakeywordortopicispresentedinagivenmessage,whoseintersectiondescribesaÞnalsetoffeaturesthatrepresentsa tiveclassiÞermodelsrepresentedbylogisticregression.ThissupportstheussualpreferenceofSVMsforclassiÞcationtasks,speciallyintext-miningapplications. GerhardPaass,andSiehyunStrobel.NewÞlteringapproachesforphishingemail.

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Latent Semantic Analysis and Keyword Extraction for Phishing Classication Gast on LHuillier Alejandro Hevia Department of Computer Science University of Chile Blanco Encalada Santiago Chile Email glh - Description


uchilecl Richard Weber Sebasti an R 305os Department of Industrial Engineering University of Chile Rep ublica 701 Santiago Chile Email rwebersrios diiuchilecl Abstract Phishing email fraud has been considered as one of the main cyberthreats over the ID: 7427 Download Pdf

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