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http://localhost/handle/Hannan/1331
عنوان: | Fraud Prevention in Online Digital Advertising |
پدیدآورنده: | Zhu, Xingquan. ;;Tao, Haicheng. ;;Wu, Zhiang. ;;Cao, Jie. ;;Kalish, Kristopher. ;;Kayne, Jeremy. ; |
کلید واژه ها: | Computer Science;Computer Communication Systems;Computer Security;Computer Science;Systems and Data Security;Information Systems Applications;Computer Communication Networks |
تاریخ انتشار: | 2017 |
محل نشر: | Cham : |
ناشر: | Springer International Publishing : Imprint: Springer, |
فروست / شماره : | SpringerBriefs in Computer Science, ; 2191-5768. ; SpringerBriefs in Computer Science, ; 2191-5768. ; |
چکیده: | 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. ; |
توضیحات : | SpringerLink (Online service) ; Printed edition: ; 9783319567921. ; QA76.9.A25 ; 005.8 ; 23 ; |
آدرس: | http://localhost/handle/Hannan/1331 |
شابک : | 9783319567938 ; 9783319567921 (print) ; |
اطلاعات بیشتر: | XIV, 54 p. 87 illus., 15 illus. in color. ; online resource. ; |
مجموعه(های): | مهندسی فناوری اطلاعات |
پیوست های این کاربرگه
فایل | توضیحات | اندازه | فرمت | |
---|---|---|---|---|
9783319567938.pdf | 1.89 MB | Adobe PDF | ![]() مشاهده فایل |
عنوان: | Fraud Prevention in Online Digital Advertising |
پدیدآورنده: | Zhu, Xingquan. ;;Tao, Haicheng. ;;Wu, Zhiang. ;;Cao, Jie. ;;Kalish, Kristopher. ;;Kayne, Jeremy. ; |
کلید واژه ها: | Computer Science;Computer Communication Systems;Computer Security;Computer Science;Systems and Data Security;Information Systems Applications;Computer Communication Networks |
تاریخ انتشار: | 2017 |
محل نشر: | Cham : |
ناشر: | Springer International Publishing : Imprint: Springer, |
فروست / شماره : | SpringerBriefs in Computer Science, ; 2191-5768. ; SpringerBriefs in Computer Science, ; 2191-5768. ; |
چکیده: | 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. ; |
توضیحات : | SpringerLink (Online service) ; Printed edition: ; 9783319567921. ; QA76.9.A25 ; 005.8 ; 23 ; |
آدرس: | http://localhost/handle/Hannan/1331 |
شابک : | 9783319567938 ; 9783319567921 (print) ; |
اطلاعات بیشتر: | XIV, 54 p. 87 illus., 15 illus. in color. ; online resource. ; |
مجموعه(های): | مهندسی فناوری اطلاعات |
پیوست های این کاربرگه
فایل | توضیحات | اندازه | فرمت | |
---|---|---|---|---|
9783319567938.pdf | 1.89 MB | Adobe PDF | ![]() مشاهده فایل |
عنوان: | Fraud Prevention in Online Digital Advertising |
پدیدآورنده: | Zhu, Xingquan. ;;Tao, Haicheng. ;;Wu, Zhiang. ;;Cao, Jie. ;;Kalish, Kristopher. ;;Kayne, Jeremy. ; |
کلید واژه ها: | Computer Science;Computer Communication Systems;Computer Security;Computer Science;Systems and Data Security;Information Systems Applications;Computer Communication Networks |
تاریخ انتشار: | 2017 |
محل نشر: | Cham : |
ناشر: | Springer International Publishing : Imprint: Springer, |
فروست / شماره : | SpringerBriefs in Computer Science, ; 2191-5768. ; SpringerBriefs in Computer Science, ; 2191-5768. ; |
چکیده: | 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. ; |
توضیحات : | SpringerLink (Online service) ; Printed edition: ; 9783319567921. ; QA76.9.A25 ; 005.8 ; 23 ; |
آدرس: | http://localhost/handle/Hannan/1331 |
شابک : | 9783319567938 ; 9783319567921 (print) ; |
اطلاعات بیشتر: | XIV, 54 p. 87 illus., 15 illus. in color. ; online resource. ; |
مجموعه(های): | مهندسی فناوری اطلاعات |
پیوست های این کاربرگه
فایل | توضیحات | اندازه | فرمت | |
---|---|---|---|---|
9783319567938.pdf | 1.89 MB | Adobe PDF | ![]() مشاهده فایل |