Scientists from the St. Petersburg Federal Research Center of the Russian Academy of Sciences (SPC RAS) have created the ForecaState neural network framework for detecting cyber threats in industrial enterprises.
The development demonstrated high recognition accuracy on various types of infrastructure - the number of errors in threat detection was 30% less than that of existing analogues.
Deep learning algorithms are suitable for processing large amounts of data, typical for IIoT (Industrial Internet of Things) industrial systems.
IIoT combines "smart" technologies, including sensors, controllers, and robots, that collect data and transmit it to the operator for analysis. This allows optimizing production, reducing costs, improving product quality, and predicting possible equipment failures. In Russia, the technology is actively being implemented in the oil and gas, energy, metallurgical, and machine-building industries, but its use is associated with the risks of cyberattacks and data leaks.
The framework is modular and easily adapts to various production tasks. The system was tested on data from water treatment networks and electrical transformers. ForecaState can be used in predictive maintenance systems for early detection of machine failures, load balancing, accident prevention, and quality control on production lines.
Read materials on the topic:
Rostec has come up with a way to protect critical enterprises from ransomware
Now on home
The service contains data on 45,000 fraudulent sites
The state has accelerated the introduction of unmanned solutions, integrating them into the real sector of the economy
Modernized engines may equip the Lada Azimut crossover
The price is 132 billion 265.8 million rubles
The manufacturer plans to strengthen its lineup of light commercial vehicles
The production of carbon fiber was organized in the shortest possible time
Electric vans will speed up the repair of urban transport infrastructure
Countries are working to synchronize regulations in the field of AI
The service's average daily audience is 55 million people
Stable Isomaterial Based on Metakaolin Has a Density Below 300 kg/m³
Re-identification quality improved twofold with new DynaMix method
Russians will be able to find out about debts online