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Effectiveness of Artificial Intelligence Algorithms in Cybersecurity

Year: 2025

Type: article

Abstract: This article provides a scientific analysis of the application of artificial intelligence algorithms in the field of cybersecurity, their effectiveness, and practical results. It analyzes how key AI technologies such as machine learning, in-depth learning, and anomaly detection work in security systems. In the process of ensuring cybersecurity, the functions of AI, such as machine learning, detection of unusual situations, and automated decision-making, are highlighted. Risks that can arise through artificial intelligence are also considered - in particular, such aspects as deepfake technologies, algorithmic errors, ethical problems, and counterattacks.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15475156

Authors: Otabekov, Akbar, Negmatova, Sevinch

Language: English

Topic: Network Security and Intrusion Detection

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W6930578969

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