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How to prevent google adsense fraud clicks (click fraud to deceive) analysis

With the popularity of online advertising, pay by per click (pay-per-click) the mode of being acceptable to all parties. However, the ensuing problem is the prevention of fraud clicking pressing, because it will directly related to the advertising model that can survive a long time and can become a real site owner sources of revenue.

Here’s how the system Google Adsense from the system point of view to prevent click fraud, in the hope that other online advertising system to prevent fraudulent clicks can have a good guide.

With the popularity of online advertising, pay by per click (pay-per-click) the mode of being acceptable to all parties. However, the ensuing problem is the prevention of fraud clicking pressing, because it will directly related to the advertising model that can survive a long time and can become a real site owner sources of revenue.

Here’s how the system Google Adsense from the system point of view to prevent click fraud, in the hope that other online advertising system to prevent fraudulent clicks can have a good guide:

1] click-through rate = clicks / total number of views.

Click-through rate is a fraud clicks to determine whether the key to whether or not the method, you can imagine a Web site advertising click-through rate of more than 10% would mean that what.
# of Click / # of Viewed

2] Click on the coverage / independent IP, if the distribution of Lane; a single IP-(click / browser) = clicks coverage to 3 times beyond the scope of systematic error would be suspected of cheating.
For example, 129.119.200.1 from the users to browse the 16 pages, click on the four ads, and the entire advertising click-through rate “from [1] in calculation of the” 5%, then calculate:
% 5 X 16 = ~ 1, the variance for Sqrt (1) = 1, click coverage = 4 / 1 = 4, according to Gaussian distribution mathematically, this probability is less than one ten thousandth.

Ratio VS IP distribution

3] click-through rate coverage 』『 click / IP / time

According to time-series analysis of click-through rate, if at a certain time period marked the peak, then this will be that a potential clicks possible deception.
Ratio VS time

4] page load time and ad clicks to poor timing analysis, and each time difference between the two click sequence analysis

[Page load time and ad clicks the time difference] should be a Poisson distribution possion distribution, and each click between the two should also be the time difference is a Possion distribution, if the time seconds in mind that more than 25 seconds, then basically show Gaussian shape.

[time of loading - time of click] distribution VS Possion

[time difference of two clicks] distribution VS Possion / Gaussion

5] for Proxy Click analysis

Click to change the IP can be said that in the past is the most difficult to resolve the most difficult to find ways of cheating, probably the people to carry out the Boost when Alexa mostly used false Proxy click method, but here as long as the adoption of reverse OMV is the source IP is intended to bring the Proxy servers have a feature you can know.

Reverse Proxy check

6] for analysis http_agent

Http_agent / time, time series analysis, the peak variance of the need to review more than three

7] for the analysis of http_referral

referral / time, time series analysis, the peak variance of the need to review more than three

8] The overall effect that there are still a very useful volume:

All users of effective CPM mean / independent IP
This will be able to find a more direct spam clicking the operation of the computer and be blocked.
Overall Ratio VS IP

Even if I give the above methods to prevent cheating, but do not forget that:
Forever than evil people to justice, and to the fierce.

What are your thoughts on this matter? Do share it in the comment. Thank you for your time

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Written by Admin on April 9th, 2011 with no comments.
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