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Title:
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COLLABORATIVE CLICK FRAUD DETECTION AND PREVENTION SYSTEM (CCFDP) IMPROVES MONITORING OF SOFTWARE-BASED CLICK FRAUD |
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Author(s):
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Li Ge , Darren King , Mehmed Kantardzic |
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ISBN:
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972-8924-06-2 |
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Editors:
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Nitya Karmakar and Pedro Isaías |
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Year:
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2005 |
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Edition:
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Single |
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Keywords:
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Click Fraud, Detection, Prevention, Software Click. |
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Type:
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Full Paper |
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First Page:
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34 |
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Last Page:
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41 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Click fraud had been identified as biggest threat to Pay-Per-Click advertising business model. We analyzed different types of click fraud activities and proposed a new classification of click frauds into four categories. While traditional commercial approached detect only some specific types of a click fraud, we developed a new system to detect and prevent all four major click fraud categories. CCFDP system is based on the collaboration between server side log and client side log. Our approach assumes that: a) user detail activities inside a web page differentiate a normal user from human click fraud while b) server side log can reveal robotic software click fraud by analyzing the difference between those two logs. Proposed architecture of the CCFDP system and click fraud identification algorithms are present in the paper. Preliminary experimental results are also included. |
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