What is Geo-IP Anti-Fraud?
- September 27 2020
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Research on IP-related problems can be summarized into the following two questions:
1. Where has this IP appeared recently?
2. What has this IP done recently?
We have operated many IP databases worldwide (which maps billions of IP addresses) that can track the activity track of most IPs in real time for a period of time.
An IP will be associated with behavioral data such as registration, access to those websites, interaction generated while browsing the web pages, etc. It must be admitted that the majority of users have good behavior and the minority of users with abnormal behavior.
Users leave traces if they have accessed the Internet, and there are always methods to look for when browsing abnormally.
We concatenate relevant behavioral data by using graphical relations. For example, A is associated with B, B is associated with C, and so A is associated with C accordingly.
If there is a behavior model named P, and now there are several different users A, B, and C, using the common IP (184.108.40.206). The association is followed by the following formula:
If there is a new user D whose IP(220.127.116.11) behavior pattern is close to P, then the association is followed by the following formula: d-> IP(18.104.22.168)->P.
If P is an abnormal behavior pattern then all associated IPs will be successfully blocked
By collecting user behavior in a legal way and abstracting it into a behavior model, and scoring the behavior model, different scores will trigger different levels of prevention.