SpringerBriefs in Computer Science

Fraud Prevention in Online Digital Advertising

Authors: Zhu, X., Tao, H., Wu, Z., Cao, J., Kalish, K., Kayne, J.

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eBook $54.99
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  • ISBN 978-3-319-56793-8
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Softcover $69.99
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  • ISBN 978-3-319-56792-1
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About this book

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.

About the authors

Table of contents (7 chapters)

Table of contents (7 chapters)

Buy this book

eBook $54.99
price for USA in USD (gross)
  • ISBN 978-3-319-56793-8
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $69.99
price for USA in USD
  • ISBN 978-3-319-56792-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Fraud Prevention in Online Digital Advertising
Authors
Series Title
SpringerBriefs in Computer Science
Copyright
2017
Publisher
Springer International Publishing
Copyright Holder
The Author(s)
eBook ISBN
978-3-319-56793-8
DOI
10.1007/978-3-319-56793-8
Softcover ISBN
978-3-319-56792-1
Series ISSN
2191-5768
Edition Number
1
Number of Pages
XIV, 54
Number of Illustrations
72 b/w illustrations, 15 illustrations in colour
Topics