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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/59536
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dc.contributor.authorSudani, Н.-
dc.coverage.spatialМинскen_US
dc.date.accessioned2025-04-16T07:48:25Z-
dc.date.available2025-04-16T07:48:25Z-
dc.date.issued2025-
dc.identifier.citationSudani, Н. Artificial intelligence securing in cyberspace / H. Sudani // Технические средства защиты информации : материалы ХXIII Международной научно-технической конференции, Минск, 08 апреля 2025 года / Белорусский государственный университет информатики и радиоэлектроники [и др.] ; редкол.: О. В. Бойправ [и др.]. – Минск, 2025. – С. 32–34.en_US
dc.identifier.urihttps://libeldoc.bsuir.by/handle/123456789/59536-
dc.description.abstractArtificial Intelligence (Al) has become pivotal in enhancing cybersecurity measures across various sectors. By leveraging advanced techniques such as machine learning, deep learning, and natural language processing, Al systems can analyze vast amounts of data in real time to identify patterns indicative of potential threats. This capability enables the proactive detection and mitigation of cyber threats, including sophisticated attacks like phishing and malware intrusions. As cyber threats continue to evolve in complexity and frequency, the role of Al in fortifying cybersecurity defenses becomes increasingly indispensable. Fortunately, Artificial Intelligence (Al) technologies have been introduced into cyberspace to construct smart models for defending systems from attacks. Since Al technologies can rapidly evolve to address complex situations, they can be used as fundamental tools in the field of cybersecurity. In this paper, we review the impact of Al on cybersecurity.en_US
dc.language.isoenen_US
dc.publisherБГУИРen_US
dc.subjectматериалы конференцийen_US
dc.subjectаrtificial Intelligenceen_US
dc.subjectcybersecurityen_US
dc.subjectmachine learningen_US
dc.subjectcomputer networksen_US
dc.titleArtificial intelligence securing in cyberspaceen_US
dc.typeArticleen_US
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