Kaspersky Lab Develops New Patent in AI Digital Monitoring

  • The leader of the Russian IT sector, Kaspersky Lab, proposes to use a system for monitoring digital security.
  • The principle of operation of the system is based on the study of the parameters of regular work (FSC).
  • The main areas of application of the proposed system are potentially dangerous industries, where the price of a second delay can be extremely high.

Artificial Intelligence (AI) continues to forge ahead. When the vast majority of traditional manufacturing processes are already based on artificial intelligence, machine learning, big data analysis, and system commands based on this analysis, digital security issues become crucial.

In computer science, artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans. Colloquially, the term “artificial intelligence” is often used to describe machines (or computers) that mimic “cognitive” functions that humans associate with the human mind, such as “learning” and “problem solving.”

Therefore, it is important not just to identify an anomaly that can affect both the specific production cycle and the system as a whole, but also to do it as quickly as possible. Using digital settings or manual intervention, correct the issue or eliminate the threat in the system.

The leader of the Russian IT sector, Kaspersky Lab, proposes to use a system for monitoring digital security, again using artificial intelligence, which helps to predict possible anomalies, and automatically control the cyber-physical system (CPS). This term is used to describe the connected production capacities and digital controllers.

Kaspersky Lab is a multinational cybersecurity and anti-virus provider headquartered in Moscow, Russia and operated by a holding company in the United Kingdom. It was founded in 1997 by Eugene Kaspersky, Natalya Kaspersky, and Alexey De-Monderik; Eugene Kaspersky is currently the CEO.

The principle of operation of the system is based on the study of the parameters of regular work (FSC), as well as their changes. In real-time mode, the system not only removes the parameters of the CPS operation, but also simultaneously compares them with the forecast values obtained as a result of big data analysis. For example, with possible temperature fluctuations according to the system forecast.

The patent was filed in 2018, but it was only granted last month to Kaspersky Lab in Russia. The additional coinciding patents: US 2014/0189860 A1, 03.07.2014. US 7808916 B1, 05.10.2010. US 2012/0112901 A1, 10.05.2012. US 2012/0131674 A1, 24,05,2012. RU 2625051 C1, 11.07.2017.

A cyberphysical system (CPS) is a computer system in which a mechanism is controlled or monitored by computer-based algorithms. In cyber-physical systems, physical and software components are deeply intertwined, able to operate on different spatial and temporal scales, exhibit multiple and distinct behavioral modalities, and interact with each other in ways that change with context.

If the promptly displayed fluctuations coincide with the possible forecast values, or are characterized by acceptable deviations formulated by the system, the system makes a conclusion about the normal operation of production facilities.

If the results obtained do not fit into the forecasting model, the monitoring system immediately notifies the operator of possible problems, and can also give instant commands to suspend the production cycle, or other measures that can be taken automatically.

For example, it can stop a conveyor or stop the supply of oil or gas to processing or transportation facilities.

Thus, the main areas of application of the proposed system are potentially dangerous industries, where the price of a second delay can be extremely high. For example, nuclear power, chemical, fuel and mining industries, as well as enterprises that use potentially dangerous components, toxic or explosive substances in production.

It could also be used in the control component of the nuclear weapons. Moreover, Russian defense is planning to utilize the system. The full extent of the implantation is unknown at this time.

Atificial intelligence continues to have a greater impact in the government and private sectors.

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Christina Kitova

I spent most of my professional life in finance, insurance risk management litigation.

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