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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/59536
Title: Artificial intelligence securing in cyberspace
Authors: Sudani, Н.
Keywords: материалы конференций;аrtificial Intelligence;cybersecurity;machine learning;computer networks
Issue Date: 2025
Publisher: БГУИР
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.
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.
URI: https://libeldoc.bsuir.by/handle/123456789/59536
Appears in Collections:ТСЗИ 2025

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