#Twiti: Social Listening for Threat Intelligence | Proceedings of ...

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In this paper, we present Twiti, a system that automatically extracts various forms of malware IOCs from Twitter. research-article Shareon #Twiti:SocialListeningforThreatIntelligenceAuthors:HyejinShinSamsungResearch,RepublicofKoreaSamsungResearch,RepublicofKoreaViewProfile,WooChulShimSamsungResearch,RepublicofKoreaSamsungResearch,RepublicofKoreaViewProfile,SaebomKimSamsungResearch,RepublicofKoreaSamsungResearch,RepublicofKoreaViewProfile,SolLeeSamsungResearch,RepublicofKoreaSamsungResearch,RepublicofKoreaViewProfile,YongGooKangKoreaUniversity,RepublicofKoreaKoreaUniversity,RepublicofKoreaViewProfile,YongHoHwangSamsungResearch,RepublicofKoreaSamsungResearch,RepublicofKoreaViewProfileAuthorsInfo&ClaimsWWW'21:ProceedingsoftheWebConference2021April2021Pages92–104https://doi.org/10.1145/3442381.3449797Online:03June2021PublicationHistory 3citation501DownloadsMetricsTotalCitations3TotalDownloads501Last12Months429Last6weeks25 GetCitationAlertsNewCitationAlertadded!Thisalerthasbeensuccessfullyaddedandwillbesentto:Youwillbenotifiedwheneverarecordthatyouhavechosenhasbeencited.Tomanageyouralertpreferences,clickonthebuttonbelow.ManagemyAlertsNewCitationAlert!Pleaselogintoyouraccount SavetoBinderSavetoBinderCreateaNewBinderNameCancelCreateExportCitationPublisherSiteGetAccessWWW'21:ProceedingsoftheWebConference2021#Twiti:SocialListeningforThreatIntelligencePages92–104 PreviousChapterNextChapter ABSTRACT Twitterisapopularpublicsourceforthreathunting.ManysecurityvendorsandsecurityprofessionalsuseTwitterinpracticeforcollectingIndicatorsofCompromise(IOCs).However,littleisknownaboutIOCsonTwitter.Theirimportantcharacteristicssuchasearliness,uniqueness,andaccuracyhaveneverbeeninvestigated.Moreover,howtoextractIOCsfromTwitterwithhighaccuracyisnotobvious.Inthispaper,wepresentTwiti,asystemthatautomaticallyextractsvariousformsofmalwareIOCsfromTwitter.BasedonthecollectedIOCs,weconductthefirstempiricalassessmentandthoroughanalysisofmalwareIOCsonTwitter.TwitiextractsIOCsfromtweetsidentifiedashavingmalwareIOCinformationbyleveragingnaturallanguageprocessingandmachinelearningtechniques.Withextensiveevaluation,wedemonstratethatnotonlycanTwitiextractmalwareIOCsaccurately,butalsotheextractedIOCsareuniqueandearly.ByanalyzingIOCsinTwitifromvariousaspects,wefindthatTwittercapturesongoingmalwarethreatssuchasEmotetvariantsandmalwaredistributionsitesbetterthanotherpublicthreatintelligence(TI)feeds.WealsofindthatonlyatinyfractionofIOCsonTwittercomefromcommercialvendoraccountsandindividualTwitterusersarethemaincontributorsoftheearlydetectedorexclusiveIOCs,whichindicatesthatTwittercanprovidemanyvaluableIOCsuncoveredincommercialdomain 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IndexTerms(auto-classified) #Twiti:SocialListeningforThreatIntelligenceSecurityandprivacySocialandprofessionaltopicsComputing/technologypolicyComputercrime Comments LoginoptionsCheckifyouhaveaccessthroughyourlogincredentialsoryourinstitutiontogetfullaccessonthisarticle.SigninFullAccessGetthisPublication InformationContributorsPublishedin WWW'21:ProceedingsoftheWebConference2021April20214054pagesISBN:9781450383127DOI:10.1145/3442381Editors:JureLeskovecStanford,MarkoGrobelnikJožefStefanInstitute,MarcNajorkGoogle,JieTangTsinghuaUniversity,LeilaZiaWikimediaFoundation Copyright©2021ACMSponsorsIn-CooperationPublisherAssociationforComputingMachineryNewYork,NY,UnitedStates PublicationHistory Online:3June2021 PermissionsRequestpermissionsaboutthisarticle.RequestPermissions AuthorTagsopensourcethreatintelligencethreathuntingTwitterIOCQualifiersresearch-articleResearchRefereedlimitedConference AcceptanceRatesOverallAcceptanceRate1,087of7,181submissions,15% FundingSources 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