Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/1331
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dc.contributor.authorZhu, Xingquan. ;en_US
dc.contributor.authorTao, Haicheng. ;en_US
dc.contributor.authorWu, Zhiang. ;en_US
dc.contributor.authorCao, Jie. ;en_US
dc.contributor.authorKalish, Kristopher. ;en_US
dc.contributor.authorKayne, Jeremy. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:27:41Z-
dc.date.available2020-05-17T08:27:41Z-
dc.date.issued2017en_US
dc.identifier.isbn9783319567938 ;en_US
dc.identifier.isbn9783319567921 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/1331-
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionPrinted edition: ; 9783319567921. ;en_US
dc.descriptionQA76.9.A25 ;en_US
dc.description005.8 ; 23 ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.description.abstractThe authors systematically review methods of online digital advertising (ad) fraud and the techniques to prevent and defeat such fraud in this brief. The authors categorize ad fraud into three major categories, including (1) placement fraud, (2) traffic fraud, and (3) action fraud. It summarizes major features of each type of fraud, and also outlines measures and resources to detect each type of fraud. This brief provides a comprehensive guideline to help researchers understand the state-of-the-art in ad fraud detection. It also serves as a technical reference for industry to design new techniques and solutions to win the battle against fraud. ;en_US
dc.description.statementofresponsibilityby Xingquan Zhu, Haicheng Tao, Zhiang Wu, Jie Cao, Kristopher Kalish, Jeremy Kayne.en_US
dc.format.extentXIV, 54 p. 87 illus., 15 illus. in color. ; online resource. ;en_US
dc.publisherSpringer International Publishing :en_US
dc.publisherImprint: Springer,en_US
dc.relation.ispartofseriesSpringerBriefs in Computer Science, ; 2191-5768. ;en_US
dc.relation.ispartofseriesSpringerBriefs in Computer Science, ; 2191-5768. ;en_US
dc.relation.haspart9783319567938.pdfen_US
dc.subjectComputer Scienceen_US
dc.subjectComputer Communication Systemsen_US
dc.subjectComputer Securityen_US
dc.subjectComputer Scienceen_US
dc.subjectSystems and Data Securityen_US
dc.subjectInformation Systems Applicationsen_US
dc.subjectComputer Communication Networksen_US
dc.titleFraud Prevention in Online Digital Advertisingen_US
dc.typeBooken_US
dc.publisher.placeCham :en_US
Appears in Collections:مهندسی فناوری اطلاعات

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Full metadata record
DC FieldValueLanguage
dc.contributor.authorZhu, Xingquan. ;en_US
dc.contributor.authorTao, Haicheng. ;en_US
dc.contributor.authorWu, Zhiang. ;en_US
dc.contributor.authorCao, Jie. ;en_US
dc.contributor.authorKalish, Kristopher. ;en_US
dc.contributor.authorKayne, Jeremy. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:27:41Z-
dc.date.available2020-05-17T08:27:41Z-
dc.date.issued2017en_US
dc.identifier.isbn9783319567938 ;en_US
dc.identifier.isbn9783319567921 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/1331-
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionPrinted edition: ; 9783319567921. ;en_US
dc.descriptionQA76.9.A25 ;en_US
dc.description005.8 ; 23 ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.description.abstractThe authors systematically review methods of online digital advertising (ad) fraud and the techniques to prevent and defeat such fraud in this brief. The authors categorize ad fraud into three major categories, including (1) placement fraud, (2) traffic fraud, and (3) action fraud. It summarizes major features of each type of fraud, and also outlines measures and resources to detect each type of fraud. This brief provides a comprehensive guideline to help researchers understand the state-of-the-art in ad fraud detection. It also serves as a technical reference for industry to design new techniques and solutions to win the battle against fraud. ;en_US
dc.description.statementofresponsibilityby Xingquan Zhu, Haicheng Tao, Zhiang Wu, Jie Cao, Kristopher Kalish, Jeremy Kayne.en_US
dc.format.extentXIV, 54 p. 87 illus., 15 illus. in color. ; online resource. ;en_US
dc.publisherSpringer International Publishing :en_US
dc.publisherImprint: Springer,en_US
dc.relation.ispartofseriesSpringerBriefs in Computer Science, ; 2191-5768. ;en_US
dc.relation.ispartofseriesSpringerBriefs in Computer Science, ; 2191-5768. ;en_US
dc.relation.haspart9783319567938.pdfen_US
dc.subjectComputer Scienceen_US
dc.subjectComputer Communication Systemsen_US
dc.subjectComputer Securityen_US
dc.subjectComputer Scienceen_US
dc.subjectSystems and Data Securityen_US
dc.subjectInformation Systems Applicationsen_US
dc.subjectComputer Communication Networksen_US
dc.titleFraud Prevention in Online Digital Advertisingen_US
dc.typeBooken_US
dc.publisher.placeCham :en_US
Appears in Collections:مهندسی فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9783319567938.pdf1.89 MBAdobe PDFThumbnail
Preview File
Full metadata record
DC FieldValueLanguage
dc.contributor.authorZhu, Xingquan. ;en_US
dc.contributor.authorTao, Haicheng. ;en_US
dc.contributor.authorWu, Zhiang. ;en_US
dc.contributor.authorCao, Jie. ;en_US
dc.contributor.authorKalish, Kristopher. ;en_US
dc.contributor.authorKayne, Jeremy. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:27:41Z-
dc.date.available2020-05-17T08:27:41Z-
dc.date.issued2017en_US
dc.identifier.isbn9783319567938 ;en_US
dc.identifier.isbn9783319567921 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/1331-
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionPrinted edition: ; 9783319567921. ;en_US
dc.descriptionQA76.9.A25 ;en_US
dc.description005.8 ; 23 ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.description.abstractThe authors systematically review methods of online digital advertising (ad) fraud and the techniques to prevent and defeat such fraud in this brief. The authors categorize ad fraud into three major categories, including (1) placement fraud, (2) traffic fraud, and (3) action fraud. It summarizes major features of each type of fraud, and also outlines measures and resources to detect each type of fraud. This brief provides a comprehensive guideline to help researchers understand the state-of-the-art in ad fraud detection. It also serves as a technical reference for industry to design new techniques and solutions to win the battle against fraud. ;en_US
dc.description.statementofresponsibilityby Xingquan Zhu, Haicheng Tao, Zhiang Wu, Jie Cao, Kristopher Kalish, Jeremy Kayne.en_US
dc.format.extentXIV, 54 p. 87 illus., 15 illus. in color. ; online resource. ;en_US
dc.publisherSpringer International Publishing :en_US
dc.publisherImprint: Springer,en_US
dc.relation.ispartofseriesSpringerBriefs in Computer Science, ; 2191-5768. ;en_US
dc.relation.ispartofseriesSpringerBriefs in Computer Science, ; 2191-5768. ;en_US
dc.relation.haspart9783319567938.pdfen_US
dc.subjectComputer Scienceen_US
dc.subjectComputer Communication Systemsen_US
dc.subjectComputer Securityen_US
dc.subjectComputer Scienceen_US
dc.subjectSystems and Data Securityen_US
dc.subjectInformation Systems Applicationsen_US
dc.subjectComputer Communication Networksen_US
dc.titleFraud Prevention in Online Digital Advertisingen_US
dc.typeBooken_US
dc.publisher.placeCham :en_US
Appears in Collections:مهندسی فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9783319567938.pdf1.89 MBAdobe PDFThumbnail
Preview File