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News
July 24, 2026
'Physics Is What the World Is Literally Built On'
Physicist Nina Dzhanayeva, recipient of a Vladimir Potanin Foundation scholarship, focuses her research on nanophotonics. In this interview for the HSE Young Scientists project, she discusses nanowells, scientific intuition, and how physics can help in making frangipane cream puffs.
July 20, 2026
Scientists Create Open Dataset for Studying Concentration
A team of Russian researchers, including scientists from HSE University–St Petersburg, has developed the first open multimodal dataset containing recordings of brain activity, heart function, and video observations to help researchers understand what happens in the human brain during deep concentration. In the future, the dataset could accelerate the development of neural interfaces, rehabilitation technologies, and AI systems. The article has been published in Scientific Data.
July 20, 2026
‘Science Is Universal-It Knows No Borders
Fuad Aleskerov, Tenured Professor and Director of the International Centre of Decision Choice and Analysis at HSE University, together with his colleagues, has developed methods of network analysis in bibliometrics that have made it possible to identify patterns in the appearance and citation of publications in academic journals, as well as their influence on each other. When one or a number of studies are frequently cited by a wide range of journals, this is an indicator that the research is of high quality. By contrast, extensive cross-citation within a limited group of journals increases the likelihood of identifying a network of predatory publications.

 

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Оценка киберрисков в проектах интернета вещей

Научно-технические ведомости Санкт-Петербургского государственного политехнического университета. Экономические науки. 2021. Т. 14. № 6. С. 102–116.
Grishunin Sergei V., Пищалкина И. И., Сулоева С. Б.

The Internet of Things (IoT) opens up vast opportunities for innovation, ranging from industrial enterprises to healthcare and consumers. However, the development of Internet of Things projects creates significant risks for developers and users. The number and frequency of IoT attacks is increasing, while the direct and indirect damage are on the rise. Thus, one infected device can make the entire ecosystem of a company vulnerable to attacks with potential failures: from violating the privacy of individual users to a massive failure of public systems and a threat to people’s lives. The relevance of the article is explained by the increase in the number of cyber attacks, the speed of the emergence of new threats and the increase in damage from attacks. Therefore, the article examines the decrease in the effectiveness of the existing mechanisms for assessing cyber risks and fills the gaps in research in this area. The authors developed Cyber ROI indicator (CyROI), which allows reflecting cyber risks and measuring the effectiveness of investments in the development of the Internet of Things, taking into account cybercrime and related control measures. Next, an approach to cyber risk assessment for Internet of Things (IoT) projects was formed, based on the principles of risk controlling and including the stages of risk identification, risk tree modeling, risk assessment and analysis of results. In addition to the formation of the approach itself, a structural and logical scheme for assessing cyber risks was presented with its tools described. Unlike analogues, the developed approach provides a holistic approach to the assessment of cyber risks; it allows integrating and coordinating all related actions and tools, simulating the confidence interval of possible return on investment, and shows the chances to go beyond risk appetite and risk tolerance. The proposed approach makes the assessment of cyber risks dynamic, iterative, responsive to changes in the cyber environment. Moreover, this approach has significant scientific and practical application. Compared to existing approaches, the author’s approach to cyber risk assessment has more flexibility, takes into account correlations between risks, allows you to assess the impact of each risk factor on CyROI and calculate a large number of scenarios.

Research target: Economics and Management Computer Science
Language: Russian
Full text
DOI
Text on another site
Keywords: cyber securityкибербезопасность Internet of ThingsИнтернет вещейrisk controllingcyber risksриск-контроллингкиберриски
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