Intelligent Anomaly Detection in Database Security: A Triple-Loop Learning Framework

Relational Database Management Systems (RDBMSs) are foundational to operations across finance, healthcare, and government sectors. However, they remain susceptible to advanced threats such as polymorphic SQL injection, insider misuse, and timing-based data exfiltration.Traditional intrusion detectio...

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Veröffentlicht in:	2025 5th Intelligent Cybersecurity Conference (ICSC) S. 420 - 426
1. Verfasser:	Kandolo, William
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 19.05.2025
Schlagworte:	Adaptation models Anomaly detection Autoencoders Database Security Deep Q-Networks (DQN) Low latency communication Medical services Meta-Learning Metalearning Model-Agnostic Meta-Learning (MAML) RDBMS Reinforcement learning Relational databases SQL injection Supervised learning Triple Loop Learning
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