Abstract

The scientific article is timed to the current task of cybersecurity in advanced information developments. With the development of the number of cyberattacks and the complexity of their difficulty, the defense of information systems becomes a priority task for organizations and countries. The article presents the results of the study and development of methods for detecting and preventing cyberattacks in the networks of corporate information systems. The study includes testing of advanced threats and attacks, assessment of vulnerabilities of information systems, and development of algorithms for current detection of untrustworthy activity. The article also discusses machine learning technologies and artificial origin intelligence, applied for the improvement of the prediction and defense system's performance. The results of the study can be used in practical tasks of ensuring cybersecurity, which contributes to the protection of confidential information and ensuring the uninterrupted operation of information systems of organizations. The note emphasizes the importance of continuous updating of methods and technologies in the field of cybersecurity for effective defense of information assets.

Keywords

• information technologies, cyber security, cyberattacks, machine learning, detection methods, artificial intelligence, vulnerabilities, network protection, information systems.

References

• https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=10206
• https://www.cert.gov.ru/en/
• https://academic.oup.com/cybersecurity

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