Scientists at the North Caucasus Federal University have developed an advanced system designed to protect smart devices from multi-vector cyberattacks. The innovation is based on creating a collective digital immunity that enables Internet of Things (IoT) devices to instantly distinguish between normal behavior and anomalies, thereby countering even the most sophisticated threats.
In this regard, Professor Variza Tiboyeva explained that the new system eliminates the need to collect data in a centralized hub. This approach helps address distribution challenges, detect previously unknown threats, and ensure trust without relying on centralized control. Tests have demonstrated its effectiveness, achieving a detection accuracy rate of 95%.
According to the source, the system operates like a living organism capable of identifying the slightest behavioral deviations. Devices learn collaboratively to recognize risks by sharing experiences: as soon as one device encounters a new threat, protection mechanisms are distributed across the entire network within just five seconds.
The developers emphasize that this comprehensive system can be applied in various sectors, including the Industrial Internet of Things (IIoT), smart cities, and medical networks.
