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VLDB
2005
ACM
125views Database» more  VLDB 2005»
14 years 1 months ago
Using Association Rules for Fraud Detection in Web Advertising Networks
Discovering associations between elements occurring in a stream is applicable in numerous applications, including predictive caching and fraud detection. These applications requir...
Ahmed Metwally, Divyakant Agrawal, Amr El Abbadi
CORR
2010
Springer
92views Education» more  CORR 2010»
13 years 6 months ago
Network Intrusion Detection Using FP Tree Rules
----------------------------------------------ABSTRACT-------------------------------------------In the faceless world of the Internet, online fraud is one of the greatest reasons ...
P. Srinivasulu, J. Ranga Rao, I. Ramesh Babu
WWW
2007
ACM
14 years 8 months ago
Detectives: detecting coalition hit inflation attacks in advertising networks streams
Click fraud is jeopardizing the industry of Internet advertising. Internet advertising is crucial for the thriving of the entire Internet, since it allows producers to advertise t...
Ahmed Metwally, Divyakant Agrawal, Amr El Abbadi
ESORICS
2009
Springer
13 years 11 months ago
An Effective Method for Combating Malicious Scripts Clickbots
Abstract. Online advertising has been suffering serious click fraud problem. Fraudulent publishers can generate false clicks using malicious scripts embedded in their web pages. Ev...
Yanlin Peng, Linfeng Zhang, J. Morris Chang, Yong ...
WSDM
2010
ACM
315views Data Mining» more  WSDM 2010»
14 years 5 months ago
SBotMiner: Large Scale Search Bot Detection
In this paper, we study search bot traffic from search engine query logs at a large scale. Although bots that generate search traffic aggressively can be easily detected, a large ...
Fang Yu, Yinglian Xie, Qifa Ke