Please use this identifier to cite or link to this item:
http://localhost/handle/Hannan/1331
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Zhu, Xingquan. ; | en_US |
dc.contributor.author | Tao, Haicheng. ; | en_US |
dc.contributor.author | Wu, Zhiang. ; | en_US |
dc.contributor.author | Cao, Jie. ; | en_US |
dc.contributor.author | Kalish, Kristopher. ; | en_US |
dc.contributor.author | Kayne, Jeremy. ; | en_US |
dc.date.accessioned | 2013 | en_US |
dc.date.accessioned | 2020-05-17T08:27:41Z | - |
dc.date.available | 2020-05-17T08:27:41Z | - |
dc.date.issued | 2017 | en_US |
dc.identifier.isbn | 9783319567938 ; | en_US |
dc.identifier.isbn | 9783319567921 (print) ; | en_US |
dc.identifier.uri | http://localhost/handle/Hannan/1331 | - |
dc.description | SpringerLink (Online service) ; | en_US |
dc.description | Printed edition: ; 9783319567921. ; | en_US |
dc.description | QA76.9.A25 ; | en_US |
dc.description | 005.8 ; 23 ; | en_US |
dc.description | en_US | |
dc.description | en_US | |
dc.description | en_US | |
dc.description | en_US | |
dc.description | en_US | |
dc.description | en_US | |
dc.description.abstract | The 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.statementofresponsibility | by Xingquan Zhu, Haicheng Tao, Zhiang Wu, Jie Cao, Kristopher Kalish, Jeremy Kayne. | en_US |
dc.format.extent | XIV, 54 p. 87 illus., 15 illus. in color. ; online resource. ; | en_US |
dc.publisher | Springer International Publishing : | en_US |
dc.publisher | Imprint: Springer, | en_US |
dc.relation.ispartofseries | SpringerBriefs in Computer Science, ; 2191-5768. ; | en_US |
dc.relation.ispartofseries | SpringerBriefs in Computer Science, ; 2191-5768. ; | en_US |
dc.relation.haspart | 9783319567938.pdf | en_US |
dc.subject | Computer Science | en_US |
dc.subject | Computer Communication Systems | en_US |
dc.subject | Computer Security | en_US |
dc.subject | Computer Science | en_US |
dc.subject | Systems and Data Security | en_US |
dc.subject | Information Systems Applications | en_US |
dc.subject | Computer Communication Networks | en_US |
dc.title | Fraud Prevention in Online Digital Advertising | en_US |
dc.type | Book | en_US |
dc.publisher.place | Cham : | en_US |
Appears in Collections: | مهندسی فناوری اطلاعات |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
9783319567938.pdf | 1.89 MB | Adobe PDF | ![]() Preview File |
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Zhu, Xingquan. ; | en_US |
dc.contributor.author | Tao, Haicheng. ; | en_US |
dc.contributor.author | Wu, Zhiang. ; | en_US |
dc.contributor.author | Cao, Jie. ; | en_US |
dc.contributor.author | Kalish, Kristopher. ; | en_US |
dc.contributor.author | Kayne, Jeremy. ; | en_US |
dc.date.accessioned | 2013 | en_US |
dc.date.accessioned | 2020-05-17T08:27:41Z | - |
dc.date.available | 2020-05-17T08:27:41Z | - |
dc.date.issued | 2017 | en_US |
dc.identifier.isbn | 9783319567938 ; | en_US |
dc.identifier.isbn | 9783319567921 (print) ; | en_US |
dc.identifier.uri | http://localhost/handle/Hannan/1331 | - |
dc.description | SpringerLink (Online service) ; | en_US |
dc.description | Printed edition: ; 9783319567921. ; | en_US |
dc.description | QA76.9.A25 ; | en_US |
dc.description | 005.8 ; 23 ; | en_US |
dc.description | en_US | |
dc.description | en_US | |
dc.description | en_US | |
dc.description | en_US | |
dc.description | en_US | |
dc.description | en_US | |
dc.description.abstract | The 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.statementofresponsibility | by Xingquan Zhu, Haicheng Tao, Zhiang Wu, Jie Cao, Kristopher Kalish, Jeremy Kayne. | en_US |
dc.format.extent | XIV, 54 p. 87 illus., 15 illus. in color. ; online resource. ; | en_US |
dc.publisher | Springer International Publishing : | en_US |
dc.publisher | Imprint: Springer, | en_US |
dc.relation.ispartofseries | SpringerBriefs in Computer Science, ; 2191-5768. ; | en_US |
dc.relation.ispartofseries | SpringerBriefs in Computer Science, ; 2191-5768. ; | en_US |
dc.relation.haspart | 9783319567938.pdf | en_US |
dc.subject | Computer Science | en_US |
dc.subject | Computer Communication Systems | en_US |
dc.subject | Computer Security | en_US |
dc.subject | Computer Science | en_US |
dc.subject | Systems and Data Security | en_US |
dc.subject | Information Systems Applications | en_US |
dc.subject | Computer Communication Networks | en_US |
dc.title | Fraud Prevention in Online Digital Advertising | en_US |
dc.type | Book | en_US |
dc.publisher.place | Cham : | en_US |
Appears in Collections: | مهندسی فناوری اطلاعات |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
9783319567938.pdf | 1.89 MB | Adobe PDF | ![]() Preview File |
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Zhu, Xingquan. ; | en_US |
dc.contributor.author | Tao, Haicheng. ; | en_US |
dc.contributor.author | Wu, Zhiang. ; | en_US |
dc.contributor.author | Cao, Jie. ; | en_US |
dc.contributor.author | Kalish, Kristopher. ; | en_US |
dc.contributor.author | Kayne, Jeremy. ; | en_US |
dc.date.accessioned | 2013 | en_US |
dc.date.accessioned | 2020-05-17T08:27:41Z | - |
dc.date.available | 2020-05-17T08:27:41Z | - |
dc.date.issued | 2017 | en_US |
dc.identifier.isbn | 9783319567938 ; | en_US |
dc.identifier.isbn | 9783319567921 (print) ; | en_US |
dc.identifier.uri | http://localhost/handle/Hannan/1331 | - |
dc.description | SpringerLink (Online service) ; | en_US |
dc.description | Printed edition: ; 9783319567921. ; | en_US |
dc.description | QA76.9.A25 ; | en_US |
dc.description | 005.8 ; 23 ; | en_US |
dc.description | en_US | |
dc.description | en_US | |
dc.description | en_US | |
dc.description | en_US | |
dc.description | en_US | |
dc.description | en_US | |
dc.description.abstract | The 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.statementofresponsibility | by Xingquan Zhu, Haicheng Tao, Zhiang Wu, Jie Cao, Kristopher Kalish, Jeremy Kayne. | en_US |
dc.format.extent | XIV, 54 p. 87 illus., 15 illus. in color. ; online resource. ; | en_US |
dc.publisher | Springer International Publishing : | en_US |
dc.publisher | Imprint: Springer, | en_US |
dc.relation.ispartofseries | SpringerBriefs in Computer Science, ; 2191-5768. ; | en_US |
dc.relation.ispartofseries | SpringerBriefs in Computer Science, ; 2191-5768. ; | en_US |
dc.relation.haspart | 9783319567938.pdf | en_US |
dc.subject | Computer Science | en_US |
dc.subject | Computer Communication Systems | en_US |
dc.subject | Computer Security | en_US |
dc.subject | Computer Science | en_US |
dc.subject | Systems and Data Security | en_US |
dc.subject | Information Systems Applications | en_US |
dc.subject | Computer Communication Networks | en_US |
dc.title | Fraud Prevention in Online Digital Advertising | en_US |
dc.type | Book | en_US |
dc.publisher.place | Cham : | en_US |
Appears in Collections: | مهندسی فناوری اطلاعات |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
9783319567938.pdf | 1.89 MB | Adobe PDF | ![]() Preview File |