Mobile 欺诈检测 in the mobile marketing realm refers to measures taken to prevent organizations from losing money or data. Within the mobile apps ecosystem, fraud can happen in a number of ways including Install 安装 hijacking, fake installs, SDK spoofing, click injection, etc.
What is mobile ad fraud? #
Mobile ad fraud is a type of fraud where advertisers are deceived by generating fake ad impressions, clicks, or installs on mobile devices. This results in advertisers paying for fraudulent or non-existent advertising activity, leading to a compromised data integrity and a loss of revenue. Mobile ad fraud can take many forms, such as fake apps, click farms, and bots, among others.
Why is mobile 欺诈检测 important? #
Mobile 欺诈检测 is important because it helps protect app marketers from financial losses due to fraudsters imitating real users to gain revenue. Increasing user-acquisition generally increases the probability of fraudulent activities. Preventing fraud usually requires multiple signals, which can be difficult for developers to build independently. Most MMPs have a 欺诈检测 mechanism in place that relies on signals shared across the industry.
How is mobile 欺诈检测 done at Tenjin? #
Tenjin looks at a few signals to identify fraudulent activities within apps. Some of the most common signals we use are:
- Mean time to identify (MTTI) blocking : This is a technique used in 欺诈检测 to quickly identify and block fraudulent transactions by comparing the click and Install 安装 timestamps. App activity is analyzed in real-time and patterns and anomalies that indicate potential fraud are identified and blocked. For example, if it’s an Install 安装 hijacking fraudulent activity, fraudsters will attempt to inject a click right before an Install 安装 to win the Install 安装 归因. By blocking attributions that seem unnaturally close to the Install 安装 timestamp, Tenjin protects app developers from Install 安装 hijacking and click injection.
- Fake Installs: This is another common type of fraudulent activity where attackers artificially inflate the number of downloads for a specific app by using automated scripts, bots, emulator devices or click farms. These can mimic the behavior of real users but usually have inconsistent device data, such as a mismatching operating system version or IP address between the click and the Install 安装. As a result, some app campaigns have a lot of fake installs that advertisers pay for and these installs do not generate any further monetary value. Identifying anomalies early prevents app marketers from incurring losses with their advertising data.
You can read more about Tenjin’s fraud dashboard and the signals we use to prevent fraud 这里.
