Intelligent Analysis of Database Users Based on A Dynamic Model
Jieqing Ai, Jianyong Wang, Shouming Chen, Hao Guan, Chengdong Liang, Liang Chen · 2017
Database security issues play an important role in modern information systems.This paper aims to deal with one of the most difficult issues for database security.We propose a novel intelligent method for database user behaviour analysis.Specially, we use hidden Markov model (HMM) to model the user profile.Different from most of previous works which only focus on query syntax for anomaly analysis, our approach explores more temporal relationships between operations and can take advantage of big training data.Experimental result has shown that our model is quite effective and efficient.