Entropy Based Identification of Fake Profiles in Social Network: An Application of Cyberbullying

International journal of virtual communities and social networking Pub Date : 2017-10-01 DOI:10.4018/IJVCSN.2017100102

Geetika Sarna, M. Bhatia

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引用次数: 3

Abstract

Cyberbullyingisafeloniousactcarriedoutagainstthevictimbysendingharassing/embarrassing/ abusinginformationonline.Normallyoffenderscreatefakeprofilesinordertohidetheiridentityfor unscrupulousactivities.Assumingafakeidentityisveryharmfulastherealpictureoftheoffender isnotvisible,andalsoitcanbecomedifficulttoentrapthem.Sometimes,sometrustworthyfriends canalsotakeadvantageofthefakeidentityinordertoharmthevictim.Culpritscanrevealvictim’s personalinformationlikefinancialdetails,personalhistory,family,etc.,andalongwithit,hecan harass,threatenorblackmailthevictimusingfakeprofilesandpermeatesthatinformationonthe socialnetwork.So,itisnecessarytoresolvethisissue.Inthisarticle,theauthorsusedtheconcept ofentropyandcrossentropytoidentifyfakeprofilesasentropyworksonthedegreeofuncertainty. Also,thisarticleshowsthecomparisonofproposedmethodwiththeexistingclassifiers. KEywoRdS Cross Entropy, Cyberbullying, Entropy, Fake Profiles, Jaro-Winkler Distance, Levenshtein Distance

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基于熵的社交网络虚假资料识别:网络欺凌的应用

Cyberbullyingisafeloniousactcarriedoutagainstthevictimbysendingharassing/embarrassing/ abusinginformationonline。Normallyoffenderscreatefakeprofilesinordertohidetheiridentityfor unscrupulousactivities。Assumingafakeidentityisveryharmfulastherealpictureoftheoffender isnotvisible，andalsoitcanbecomedifficulttoentrapthem。Sometimes，sometrustworthyfriends canalsotakeadvantageofthefakeidentityinordertoharmthevictim。Culpritscanrevealvictim的personalinformationlikefinancialdetails，personalhistory，family，etc。，andalongwithit，hecan骚扰，threatenorblackmailthevictimusingfakeprofilesandpermeatesthatinformationonthe socialnetwork.So，itisnecessarytoresolvethisissue。Inthisarticle，theauthorsusedtheconcept ofentropyandcrossentropytoidentifyfakeprofilesasentropyworksonthedegreeofuncertainty。还有，thisarticleshowsthecomparisonofproposedmethodwiththeexistingclassifiers。关键词交叉熵，网络欺凌，熵，虚假个人资料，Jaro-Winkler距离，Levenshtein距离

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International journal of virtual communities and social networking

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