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Machine Learning-Based Risky User Behavior Detection to Mitigate Ransomware Attacks on Higher Education Institutions
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Godfrey F. Mendes – ProQuest LLC, 2024
This Praxis develops a machine learning (ML) model to address ransomware threats in higher education institutions (HEIs). HEIs are vulnerable to cyberattacks due to their open-access environments, diverse user bases, and decentralized IT systems. These vulnerabilities are compounded by limited budgets, heightened risks from increased digital…
Descriptors: Colleges, Artificial Intelligence, Users (Information), Risk Assessment