Russian researchers developed methodology to predict cyber risks

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 Scientists from St. Petersburg Polytechnic University have developed a methodology for assessing cyber risks in smart city systems. The developed methodology has been tested on the “smart intersection” test bed (a component of smart transport system of smart city).

It should be reminded that St.Petersburg participates in the formation of Smart City program, which will provide new services for the residents of megacities, increasing the safety of citizens. Digital services are an integral part of such system.

Experts explained that cybercriminals have new goals: to disrupt the functioning of large enterprises and urban infrastructure, as well as to intercept control over them. Attackers using wireless channels can remotely penetrate a target subnet or device, intercept traffic, launch DoS attacks and take control of IoT devices to create botnets.

“At present, traditional cyber risk analysis strategies cannot be directly applied to the construction and assessment of smart city digital infrastructures, as the new network infrastructure is heterogeneous and dynamic,” said Vasily Krundyshev, a researcher at the Institute of Cybersecurity and Information Protection.

At the same time, he stressed that the purpose of this project is to provide the level of protection of information assets of the smart city taking into account specific features of modern cyber threats.

The methodology of cybersecurity risk analysis of the smart city includes the stages of assets type identification, threat identification, risk calculation and analysis of obtained values. The proposed methodology is based on a quantitative approach. At the same time, according to scientists, it is easily and quickly calculable, which is especially important in conditions of modern dynamic infrastructures.

Experimental studies using a set of developed simulation models of typical digital infrastructures of a smart city (Internet of Things, smart building, smart intersectio

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