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World Journal of Engineering Research and Technology

( An ISO 9001:2015 Certified International Journal )

An International Peer Reviewed Journal for Engineering Research and Technology

An Official Publication of Society for Advance Healthcare Research (Reg. No. : 01/01/01/31674/16)

ISSN 2454-695X

Impact Factor : 7.029

ICV : 79.45

WJERT Citation

  All Since 2020
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Abstract

IMPLEMENTATION OF AD-SHERLOCK FOR CLICK-FRAUD DETECTION BASED ON DEEP-LEARNING MODEL

Kothapalli Venkata Naga Aditya*, Tangadapally Vaishnavi Sagar, Komandla Karthik and Banothu Ramji

ABSTRACT

Now-a-days usage of mobile applications are increasing exponentiallyday-by-day. With this usage, many companies are using theseapplications as their online advertising platform for their marketing.But, there is a major threat to this ecosystem is that there may occurclick-fraud where the ads are clicked by the bots or by any non-humaninteractions. This gains profits to the app developers as click-per-paypolicy but due to un-intentional clicks by the bots, the advertisers arenot gaining any profits. To prevent this, we are proposing a DeepLearning based model which can detect the click-fraud based on theAd-Sherlock implementation.

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