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Intelligent System for Monitoring and Preventing Cyberattacks in Banking Cloud Environments Based on Machine Learning and Big Data Analysis

Year: 2025

Type: conference-paper

Abstract: : An Intelligent System for Monitoring and Preventing Cyberattacks in Banking Cloud Environments Based on Machine Learning and Big Data Analysis refers to advanced technological frameworks designed to enhance cybersecurity within financial institutions that utilize cloud computing. As the banking sector increasingly adopts digital solutions, it has become a prime target for cybercriminals, facing significant risks including data breaches, financial losses, and regulatory penalties. The integration of machine learning (ML) and big data analytics has revolutionized traditional cyber-security measures, allowing for proactive threat detection and response strategies that are essential in today’s evolving threat landscape.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15423651

Authors: Gaipnazarov, Rustam, U. Azimova, Z.Abdiraimova, Sh.Azimov, M.Mamatqulov

Institutions: University of Tashkent for Applied Sciences, Tashkent University of Information Technology

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: W6893267129

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