Proceedings of the 2015 International Conference on Education Technology, Management and Humanities Science

Design and Implementation of Intelligent Analysis Module in Database Audit System

Authors
Wei Li, Chenying Liu
Corresponding Author
Wei Li
Available Online March 2015.
DOI
https://doi.org/10.2991/etmhs-15.2015.35How to use a DOI?
Keywords
SQL; Database Audit System; Abnormal data
Abstract
According to the current method of database auditing and the characteristics of audit data, the module detects and analyzes database operation behavior by mining technology based on association rules, establishes normal user behavior patterns, and compiles anomaly detection algorithm to detect abnormal behavior; The research, through anomaly-based detection technology, achieves lexical and syntactic analysis of SQL statement, establishes SQL statement rule base, and detects abnormal SQL statement by pattern matching of audit data. The module combines two detection direction to achieve the intelligent analysis of audit data and comprehensive detection of abnormal data.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Wei Li
AU  - Chenying Liu
PY  - 2015/03
DA  - 2015/03
TI  - Design and Implementation of Intelligent Analysis Module in Database Audit System
BT  - 2015 International Conference on Education Technology, Management and Humanities Science (ETMHS 2015)
PB  - Atlantis Press
SP  - 152
EP  - 156
SN  - 2352-5398
UR  - https://doi.org/10.2991/etmhs-15.2015.35
DO  - https://doi.org/10.2991/etmhs-15.2015.35
ID  - Li2015/03
ER  -