CyberDQFormer: A Knowledge Graph-Enhanced Transformer Framework for Security-Aware Data Quality Anomaly Detection and Autonomous Repair Against Network Attacks
The increasing reliance on data-driven cyber infrastructures has made data quality degradation a critical security concern, as adversaries can deliberately manipulate, inject, or poison data to disrupt network defense, threat intelligence, and operational decision-making. This study aims to develop a unified framework...