Detecting intrusion transactions in databases using data item dependencies and anomaly analysis
The purpose of the intrusion detection system (IDS) database is to detect transactions that access data without permission. This paper proposes a novel approach to identifying malicious transactions. The approach concentrates on two aspects of database transactions
intrusion detection data mining database systems dependency rules time-series analysis