Russian Scientists Develop Collective Digital Immunity for the Internet of Things
New architecture can be deployed in industrial IoT, smart cities and medical networks
Researchers at North Caucasus Federal University have developed a system to monitor and protect smart devices from multi-vector attacks, the university’s press service said.
According to Fariza Tebuyeva, Doctor of Physical and Mathematical Sciences and professor in the Department of Computational Mathematics and Cybernetics at the Faculty of Mathematics and Computer Science named after Professor Chervyakov, the team has created what she describes as a collective digital immunity system for the Internet of Things. Devices are trained to distinguish normal behavior from anomalies locally, without pooling all data in a single center. The approach helps block even sophisticated attacks.
The architecture addresses several challenges, including distributed data environments, detection of previously unknown threats and maintaining trust without centralized control.
Like a Living Organism
The researchers compared the system’s operation to that of a living organism because it detects even minor deviations in device behavior.
Experimental tests showed an attack detection accuracy rate of 95 percent. The architecture can be deployed in industrial IoT systems, smart cities and medical networks.
