Fraud Prevention in Online Digital Advertising (SpringerBriefs in Computer Science)
暫譯: 線上數位廣告詐騙防範 (SpringerBriefs in Computer Science)
Xingquan Zhu, Haicheng Tao, Zhiang Wu, Jie Cao, Kristopher Kalish, Jeremy Kayne
- 出版商: Springer
- 出版日期: 2017-06-23
- 售價: $2,770
- 貴賓價: 9.5 折 $2,632
- 語言: 英文
- 頁數: 54
- 裝訂: Paperback
- ISBN: 3319567926
- ISBN-13: 9783319567921
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相關分類:
Computer-Science
海外代購書籍(需單獨結帳)
商品描述
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.
商品描述(中文翻譯)
作者在本簡報中系統性地回顧了在線數位廣告(ad)詐騙的方法以及防止和擊敗此類詐騙的技術。作者將廣告詐騙分為三個主要類別,包括(1)置放詐騙、(2)流量詐騙和(3)行動詐騙。簡報總結了每種類型詐騙的主要特徵,並概述了檢測每種類型詐騙的措施和資源。本簡報提供了全面的指導方針,幫助研究人員了解廣告詐騙檢測的最新技術。它同時也作為業界的技術參考,幫助設計新的技術和解決方案,以贏得對抗詐騙的戰鬥。