AI-based proxy detection for mobile apps

Proxy detection systems

Many of us use VPNs and proxies to protect our internet traffic. However, not all of us know that there is specialized software that helps detractors determine the source of your traffic.

Today, we are in the age of innovation, and developers are building such software with new technologies, while anyone can buy IPv6 proxy with more advanced algorithms. Let’s find out the relationship between artificial intelligence and proxy detection systems. Have a pleasant reading!

How AI helps to develop the software

The vast amount of network data has become one of the main challenges in development. Thousands of services have millions of connections from users in different countries. Artificial intelligence helps specialists and technical algorithms analyze this data and find patterns that are difficult to detect manually.

For example, machine learning algorithms can analyze user connection history, IP characteristics, location change frequency, and typical behavior of real users and automated systems. This is the same information that helps professionals distinguish between regular and proxy connections.

Besides, artificial intelligence accelerates the development of this software. By analyzing large sets of network data, developers can test new proxy detection methods in a more advanced way.

Using machine learning to classify connections

In modern systems, artificial intelligence often plays the role of a so-called classifier. Let’s figure out what this means in practice.

After receiving a request from the algorithm, the program connection collects several types of parameters. These are the IP address, location on the globe, type of ISP, browser characteristics, and history of account activity.

Machine learning analysis
Machine learning analysis.

This is the first step. In the second step, machine learning evaluates a set of characteristics and determines whether it is likely to be connected via VPN, SOCKS, or HTTP proxy. The specialist would not have been able to do this without help, since there is a necessity to consider dozens of factors simultaneously.

One of the most useful applications of artificial intelligence is finding anomalies. Algorithms research the normal behavior of users and form an idea of how legitimate activity looks most of the time when they use the internet. If the system detects unusual behavior, it can increase risk.

Let’s imagine a situation where the user always connects from one country and then starts changing countries every few minutes. Or where several hundred accounts use nearly the same device settings. Such signs do not always indicate a proxy, but may point to the use of VPN infrastructure or special identity-concealing services.

One of the strengths of artificial intelligence is its ability to adapt to a changing environment. Let’s find out what we mean by this factor. The fact is that proxy and VPN providers are constantly building new servers and improving ways to bypass checks.

If you use only outdated databases, the software will become obsolete. Even if it is developed using artificial intelligence. Machine learning models allow for regular retraining of the system to new data. This is very convenient, because in the future, specialists will be able to recognize new types of proxy networks and schemes for disguising internet connections.

As encryption techniques become more complex, the importance of artificial intelligence continues to grow. Innovative software is based on pre-prepared address lists and uses intelligent behavioral analysis. Experts are confident that proxy detection will become a comprehensive risk assessment system in the coming years.