Thanh-Tan Doan

A Two-Stage Privacy-Aware SQL Anomaly Detector for Inline Database Defense

Inline database defenses require mechanisms to intercept malicious attacks and performance anomalies. Conventional lexical filters lack awareness of query execution costs, while machine learning models trained on operational logs risk exposing sensitive proprietary data. This paper presents a privacy-aware SQL anomaly...