Know the Goals of Click Fraud protection

Click Fraud  protection is a process of considering the volume, or frequency that an individual is generating to determine whether or not they are engaged in click fraud. The term “click fraud” can be applied to a wide variety of activities, including but not limited to: affiliate marketing, search engine optimization (SEO), programmatic advertising, and social media marketing.

A best click fraud protection system would require a user to provide as much identifying information before being able to access services like ads or referrals. This system would also require a user to provide their financial information to purchase the services they desire, and is therefore thought of as a major security risk.

The concept of click fraud detection has been superseded by click fraud prevention. Click Fraud Prevention systems are focused on preventing the clicks from occurring in the first place, as opposed to detecting that they have occurred. This eliminates the need for identifying information and financial information, as these activities would be prevented before they occur.

What are the Goals of click fraud protection

• The primary goal of a click fraud detection system is to detect, or identify malicious intent among users who are generating clicks within an application or infrastructure. This provides an administrator with the metrics required to determine if the activity is malicious and if it is their next action.
• The secondary goal of a click fraud detection system is to provide an administrator with a method of reporting malicious activity in a non-intrusive manner. Meaning, the system will not require additional input from the user to complete the report or investigation.
• The tertiary goal of a click fraud detection system is to provide the user with a method for contesting any activity which has been placed under investigation. This may create additional administrative work for the system itself, however, it is important to allow the user an opportunity to voice their opinion on the matter.
• The last goal of a click fraud detection system is that it does not become an inconvenience or source of suspicion for regular users who are not engaging in malicious activity.

There are two main approaches to click fraud detection: 1) behavior-based method and 2) pattern-based method. More details about each method can be found in the following sections. Another technique called the pattern-based approach is an extension of the behavior-based approach that includes more sophisticated machine learning algorithms.

Conclusion

Hence, click fraud protection is the process of considering the volume or frequency that a user is generating to determine whether or not they are engaged in click fraud. A click fraud detection system would require a user to provide as much identifying information before being able to access services like ads or referring others.

A click fraud detection system would also require a user to provide their financial information, and therefore would be thought of as a major security risk. The concept of click fraud detection has been superseded by click fraud prevention.