Russian Academy of Sciences St. Developed by scientists from the St. Petersburg Federal Research Center (SPb FRC RAS), it detects both group and single bots with an error of 5%.
It is based on a neural network created by experts that distinguishes bots from real people by considering over a thousand metrics. Second, not with the current activity that bots learn to mimic well, but with one of the researchers, St. Petersburg Computer Security Problems Laboratory, Andrey Chechulin, one of the leading researchers of how they have evolved over time. The Federal Research Center of the Russian Academy of Sciences emphasized.
These include the “age” of the account, the profile description, and the authenticity of photo and video content. The “live” account of a “live” develops consistently – a person studies, works, gets married, makes friends. The expert notes that the dynamics of the number of “friends” and bot connections, as well as other features, are more chaotic.
Scientists developed and tested their solution on the VKontakte network. They first started detecting group activity of bots in 2021, then turned their attention to singular ones. Experts say the new approach really works. According to them, the application can be used by companies that use neural networks for commercial purposes to resist malicious influences.
Source: Ferra
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