Cyberattack intensity forecasting on informatization objects of critical infrastructures

Krakovsky, Y. M.; Luzgin, A. N.; Ivanyo, Yaroslav

doi:10.1088/1757-899x/481/1/012003

Cited by 8 publications

(2 citation statements)

References 6 publications

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“…Cova, Chen, Chang, et al detected and analyzed "drive-by-download" on the web as a representative means of spreading malicious code [13,14,15,16]. In addition, Han found that the large-scale cyber terror attack in Korea and the cyber-attack against Sony Pictures were committed by the same attacker group through case-based reasoning [17,28,29]. Many activities are also conducted to share cyber-attack information in the standard aspect.…”

Section: Related Workmentioning

confidence: 99%

Cyber-attack group analysis method based on association of cyber-attack information

Son¹,

Kim²,

Lee³

2020

KSII TIIS

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Cyber-attacks emerge in a more intelligent way, and various security technologies are applied to respond to such attacks. Still, more and more people agree that individual response to each intelligent infringement attack has a fundamental limit. Accordingly, the cyber threat intelligence analysis technology is drawing attention in analyzing the attacker group, interpreting the attack trend, and obtaining decision making information by collecting a large quantity of cyber-attack information and performing relation analysis. In this study, we proposed relation analysis factors and developed a system for establishing cyber threat intelligence, based on malicious code as a key means of cyber-attacks. As a result of collecting more than 36 million kinds of infringement information and conducting relation analysis, various implications that cannot be obtained by simple searches were derived. We expect actionable intelligence to be established in the true sense of the word if relation analysis logic is developed later.

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Section: Related Workmentioning

confidence: 99%

Cyber-attack group analysis method based on association of cyber-attack information

Son¹,

Kim²,

Lee³

2020

KSII TIIS

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“…Knowledge is not stored in the heads of experienced employees, but belongs to the industry, is accumulated and transmitted. On top of that, time resources for all manner of explanations and training of employees are reduced [6,7].…”

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confidence: 99%

Knowledge base creation for nitrogen fertilization towards crops

Riksen

Luzhnykh

Kalichkin

2022

IOP Conf. Ser.: Earth Environ. Sci.

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The use of intelligent technologies for the systematization of agrotechnological knowledge, by creating a specialized software system for storing and presenting knowledge in the field of crop production, represents one of the most promising areas for improving the efficiency of agricultural production planning. The paper deals with the relevant issues of creating a knowledge base for information support system of the operator’s activities on the mineral fertilizer application. The increased requirements for modern agriculture to be resource-saving and environmentally friendly stem from the development of this direction. The software LogicGem, an easy-to-use tool for creating, editing, checking and compiling decision table logic, was used to build a knowledge base.

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