DC Field | Value | Language |
dc.contributor.author | Sudani, Н. | - |
dc.coverage.spatial | Минск | en_US |
dc.date.accessioned | 2025-04-16T07:48:25Z | - |
dc.date.available | 2025-04-16T07:48:25Z | - |
dc.date.issued | 2025 | - |
dc.identifier.citation | Sudani, 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.uri | https://libeldoc.bsuir.by/handle/123456789/59536 | - |
dc.description.abstract | Artificial 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.iso | en | en_US |
dc.publisher | БГУИР | en_US |
dc.subject | материалы конференций | en_US |
dc.subject | аrtificial Intelligence | en_US |
dc.subject | cybersecurity | en_US |
dc.subject | machine learning | en_US |
dc.subject | computer networks | en_US |
dc.title | Artificial intelligence securing in cyberspace | en_US |
dc.type | Article | en_US |
Appears in Collections: | ТСЗИ 2025
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