INTELLIGENT SYSTEM FOR MONITORING AND PREVENTING CYBERATTACKS IN BANKING CLOUD ENVIRONMENTS BASED ON MACHINE LEARNING AND BIG DATA ANALYSIS
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.
Institutions
- Tashkent University of Information Technology (UZ)
- Tashkent Institute of Architecture and Civil Engineering (UZ)
- Tashkent State University of Law (UZ)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-05-15
- DOI
- https://doi.org/10.5281/zenodo.15423652
- Primary Topic
- Robot Manipulation and Learning
- Type
- article
- Field-Weighted Citation Impact
- 0.00