What are the main challenges in detecting Ad Fraud?

 What are the main challenges in detecting Ad Fraud?

What is Ad Fraud?

In Mobile Ad fraud mobile advertising technology is used to attempt fraud on advertisers and publishers. The main objective of these fraudulent advertising agencies is to steal from the advertisement budget of the companies.

There are many types of Mobile Ad frauds. These include click spam, click injection and SDK spoofing fraud. Over the years it has been noticed by official advertising agencies that mobile ad frauds have taken many different forms. For instance, fraud advertisers seek to benefit by implying false impressions that views have been generated even though in reality they stuff adverts into a single pixel.

Mobile Ad Fraud Types:

There are three main types of Mobile Advertising fraud as mentioned before. These three Fraud types are briefly discussed below:

  1. Click Spam: This occurs on the internet when pay-per-click online advertisements take place. The fraudster executes clicks for those users who have not made the click. This is also called organics poaching.
  2. Click Injection: This is a very sophisticated form of Mobile Ad fraud. Fraudster trigger clicks before any kind of installation takes place and then receives credit for the same.
  3. SDK Spoofing: This is a type of legitimate-looking installation scams. Here fraudsters usually use an actual device to generate an install that looks real but is fake. It is also known as traffic spoofing and replay attacks by others.

How Mobile Ad Fraud takes place?

Mobile Ad frauds have generated quick money for these scammers very easily through illegal means. The main reason behind this is that mobile content reaches large audiences and therefore generates a lot of advertising demand, and the second reason is that criminals doing Mobile Ad fraud are very less likely to be caught.

Detection Techniques

Mobile Fraud detection involves a set of activities and technologies that help mobile marketers to identify all three types of mobile frauds. This also involves mobile protection activities that detail a list of rules and regulations that help these companies block frauds.

Fraud detection tools are a combination of a lot of data analysis and machine learning that help provide advertisers with the best results.

If you want to get more comprehensive information about Ad Fraud Detection Difficulties, here!

Ad Fraud Challenges

Many challenges come forth when trying to detect fraudulent mobile ads. One of the biggest challenges is trying to detect fake clicks. Differentiating between a real and a fake click is very hard.

Also, there are many limitations faced by AI and machine learning algorithms in detecting Ad frauds as well.

Clare Louise

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