Please use this identifier to cite or link to this item:
http://localhost/handle/Hannan/1331
Title: | Fraud Prevention in Online Digital Advertising |
Authors: | Zhu, Xingquan. ;;Tao, Haicheng. ;;Wu, Zhiang. ;;Cao, Jie. ;;Kalish, Kristopher. ;;Kayne, Jeremy. ; |
subject: | Computer Science;Computer Communication Systems;Computer Security;Computer Science;Systems and Data Security;Information Systems Applications;Computer Communication Networks |
Year: | 2017 |
place: | Cham : |
Publisher: | Springer International Publishing : Imprint: Springer, |
Series/Report no.: | SpringerBriefs in Computer Science, ; 2191-5768. ; SpringerBriefs in Computer Science, ; 2191-5768. ; |
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. ; |
Description: | SpringerLink (Online service) ; Printed edition: ; 9783319567921. ; QA76.9.A25 ; 005.8 ; 23 ; |
URI: | http://localhost/handle/Hannan/1331 |
ISBN: | 9783319567938 ; 9783319567921 (print) ; |
More Information: | XIV, 54 p. 87 illus., 15 illus. in color. ; online resource. ; |
Appears in Collections: | مهندسی فناوری اطلاعات |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
9783319567938.pdf | 1.89 MB | Adobe PDF | ![]() Preview File |
Title: | Fraud Prevention in Online Digital Advertising |
Authors: | Zhu, Xingquan. ;;Tao, Haicheng. ;;Wu, Zhiang. ;;Cao, Jie. ;;Kalish, Kristopher. ;;Kayne, Jeremy. ; |
subject: | Computer Science;Computer Communication Systems;Computer Security;Computer Science;Systems and Data Security;Information Systems Applications;Computer Communication Networks |
Year: | 2017 |
place: | Cham : |
Publisher: | Springer International Publishing : Imprint: Springer, |
Series/Report no.: | SpringerBriefs in Computer Science, ; 2191-5768. ; SpringerBriefs in Computer Science, ; 2191-5768. ; |
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. ; |
Description: | SpringerLink (Online service) ; Printed edition: ; 9783319567921. ; QA76.9.A25 ; 005.8 ; 23 ; |
URI: | http://localhost/handle/Hannan/1331 |
ISBN: | 9783319567938 ; 9783319567921 (print) ; |
More Information: | XIV, 54 p. 87 illus., 15 illus. in color. ; online resource. ; |
Appears in Collections: | مهندسی فناوری اطلاعات |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
9783319567938.pdf | 1.89 MB | Adobe PDF | ![]() Preview File |
Title: | Fraud Prevention in Online Digital Advertising |
Authors: | Zhu, Xingquan. ;;Tao, Haicheng. ;;Wu, Zhiang. ;;Cao, Jie. ;;Kalish, Kristopher. ;;Kayne, Jeremy. ; |
subject: | Computer Science;Computer Communication Systems;Computer Security;Computer Science;Systems and Data Security;Information Systems Applications;Computer Communication Networks |
Year: | 2017 |
place: | Cham : |
Publisher: | Springer International Publishing : Imprint: Springer, |
Series/Report no.: | SpringerBriefs in Computer Science, ; 2191-5768. ; SpringerBriefs in Computer Science, ; 2191-5768. ; |
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. ; |
Description: | SpringerLink (Online service) ; Printed edition: ; 9783319567921. ; QA76.9.A25 ; 005.8 ; 23 ; |
URI: | http://localhost/handle/Hannan/1331 |
ISBN: | 9783319567938 ; 9783319567921 (print) ; |
More Information: | XIV, 54 p. 87 illus., 15 illus. in color. ; online resource. ; |
Appears in Collections: | مهندسی فناوری اطلاعات |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
9783319567938.pdf | 1.89 MB | Adobe PDF | ![]() Preview File |