| Developers: | St. Petersburg State Polytechnic University (SPbPU) of Peter the Great |
| Date of the premiere of the system: | December 2022 |
| Branches: | Information Technology |
2022: Announcement of Self-Learning Cyber Defense
At the St. Petersburg Polytechnic University (SPbPU), Peter the Great in early December 2022 announced the creation of self-learning cyber defense, which, according to the developers, surpasses antiviruses.
The solution designed for infrastructure management complexes and smart services is self-learning and adaptable to the features of current threats, ensuring resistance to hacker attacks and viruses.
The cyber protection proposed by Petersburgers is relevant, since none of the traditional solutions takes into account the constant changes in modern threats. At the same time, classical tools are not able to provide comprehensive security for automated control systems, smart homes, complex structures with elements of artificial intelligence and other cyberphysical systems. This is because the latter include various sensors, actuators, controllers, etc., and combine computing and physical processes.
The method presented by SPbPU specialists is based on the operation of a large-scale network of interacting nodes, each of which has a set of probable actions regarding the neighbor node. Probabilities are updated according to the reinforcement signal, which is generated by the indicators obtained during network operation. Under threats, the performance is ensured precisely by changing the behavior of the node relative to another, malicious or faulty.
 | The basis of self-learning cyber defense was a mathematical model, first proposed by Soviet scientist Mikhail Tsetlin. However, our implementation of the idea differs from the original version in that the system can adapt to changing conditions during operation, "said Tigran Hovasapyan, associate professor at the Institute of Cybersecurity and Information Protection of St. Petersburg SPBPU. |  |
It is also argued that the complex of solutions proposed by St. Petersburg engineers reduces the percentage of data loss and increases the duration of network uptime.[1]
Notes
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