Evidence Fusion for Real Time Click Fraud Detection and Prevention

Walgampaya, Chamila; Kantardzic, Mehmed; Yampolskiy, Roman V.

doi:10.1007/978-1-4614-0373-9_1

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Class 2(non-smart Clickbot) When Equal Class Distribution I1

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2022

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Cited by 5 publications

(2 citation statements)

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“…Passive detection approaches, on the other hand, apply data analysis/mining techniques to recognize the behaviour pattern of traffics (e.g. [11,19,21,23,25,27]). While active detection techniques typically adopt the signature based detection mechanism to mark the fraudulent traffic, passive detection techniques can use both signature based (e.g.…”

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confidence: 99%

Detecting coalition attacks in online advertising: A hybrid data mining approach

Zhang¹,

Feng²

2016

BDIA

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Coalition attack is nowadays one of the most common type of attacks in the industry of online advertising. In this paper, we attempt to mitigate the problem of frauds by proposing a hybrid framework that detects the coalition attacks based on multiple metrics. We also articulate the theoretical basis for these metrics to be integrated into the hybrid framework. Furthermore, we instance the framework with two metrics and develop a detection system that identifies the coalition attacks from two distinguish perspectives.

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confidence: 99%

Detecting coalition attacks in online advertising: A hybrid data mining approach

Zhang¹,

Feng²

2016

BDIA

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“…By over sampling Class 2 records for 0 3 , and by under sampling Class 1 records for 0 4 we have achieved a higher F 1 -measure than that of 0 1 . In both of these cases we have tried to increase the class representation of Class 2 records.…”

Section: Class 2(non-smart Clickbot) When Equal Class Distribution Imentioning

confidence: 97%

Click fraud : how to spot it, how to stop it?

Walgampaya

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Data Sampling Methods for Analyzing Publishers Conduct from Highly Imbalanced Dataset in Web Advertising

Sisodia

2022

Information Systems and Management Science

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Evidence Fusion for Real Time Click Fraud Detection and Prevention

Cited by 5 publications

References 17 publications

Detecting coalition attacks in online advertising: A hybrid data mining approach

Detecting coalition attacks in online advertising: A hybrid data mining approach

Click fraud : how to spot it, how to stop it?

Data Sampling Methods for Analyzing Publishers Conduct from Highly Imbalanced Dataset in Web Advertising

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