Intelligent Analysis of Database Users Based on A Dynamic Model
Authors
Jieqing Ai, Jianyong Wang, Shouming Chen, Hao Guan, Chengdong Liang, Liang Chen
Corresponding Author
Jieqing Ai
Available Online June 2016.
- DOI
- 10.2991/mecs-17.2017.126How to use a DOI?
- Keywords
- Intelligent Analysis of Database Users Based on A Dynamic Model
- Abstract
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.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Jieqing Ai AU - Jianyong Wang AU - Shouming Chen AU - Hao Guan AU - Chengdong Liang AU - Liang Chen PY - 2016/06 DA - 2016/06 TI - Intelligent Analysis of Database Users Based on A Dynamic Model BT - Proceedings of the 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017) PB - Atlantis Press SP - 146 EP - 150 SN - 2352-5401 UR - https://doi.org/10.2991/mecs-17.2017.126 DO - 10.2991/mecs-17.2017.126 ID - Ai2016/06 ER -