Data Mining Approach to Filter Click-Spam in Mobile Ad Networks
The mobility revolution introduced by the Smartphones has created new advertising channels for e-businesses. However, these new channels are exploited by the unethical ad-publishers to practice click spam in fraudulent ways affecting the mobile end users in terms of time and money. Ad networks are also experiencing great loss in their revenues under utilizing the computing resources. This emphasizes the identifying and detection of click-spam leveraging appropriate data mining techniques. Mobile apps play a vital role to attract mobile advertising. Popular apps can generate millions of dollars in profit. The presence of spam in mobile advertising is still growing under the hood though ad-networks have been taking enough security measures. Hence, it has become a great significance to solve click spam issues for the smooth development of the mobile revolution.
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