Paper Info
Title
AdBudgetKiller: Online Advertising Budget Draining Attack.
Abstract
In this paper, we present a new ad budget draining attack. By repeatedly pulling ads from targeted advertisers using crafted browsing profiles, we are able to reduce the chance of showing their ads to real-human visitors and trash the ad budget. From the advertiser profiles collected by an automated crawler, we infer advertising strategies, train satisfying browsing profiles and launch large-scale attacks. We evaluate our methods on 291 public advertisers selected from Alexa Top 500, where we successfully reveal the targeting strategies used by 87% of the advertisers we considered. We also executed a series of attacks against a controlled advertiser and 3 real-world advertisers within the ethical and legal boundary. The results show that we are able to fetch 40,958 ads and drain up to $155.89 from the targeted advertisers within an hour.
Year
DOI
Venue
2018
10.1145/3178876.3186096
WWW '18: The Web Conference 2018 Lyon France April, 2018
Keywords
Field
DocType
Online Advertising, Ad Fraud, Budget Draining Attack
World Wide Web,Computer science,Online advertising,Web crawler
Conference
ISBN
Citations 
PageRank 
978-1-4503-5639-8
0
0.34
References 
Authors
14
7
Name
Order
Citations
PageRank
I Luk Kim1295.07
Weihang Wang2457.17
Yonghwi Kwon3406.53
Yunhui Zheng430118.09
Yousra Aafer526413.36
Weijie Meng610.69
Xiangyu Zhang72857151.00