NDLI: Database intrusion detection system for detecting malicious behaviors in transaction and inter-transaction levels

Content Provider	IEEE Xplore Digital Library
Author	Doroudian, Mostafa Shahriari, Hamid Reza
Copyright Year	2014
Description	Author affiliation: Computer Engineering and Information Technology Department, Amir Kabir University of Technology, Tehran, Iran (Doroudian, Mostafa; Shahriari, Hamid Reza)
Abstract	Database management systems containing the most valuable assets of enterprises, i.e., data. Ordinary intrusion detection systems usually deal with network or OS attacks and could not detect database specific attacks. Therefore, the existence of Intrusion Detection Systems in the database is a necessity. In this paper, we propose a type of intrusion detection system for detecting attacks in both database transaction level and inter-transaction level (user task level). For this purpose, we propose a detection method at transaction level, which is based on describing the expected transactions within the database applications. Then at inter-transaction level, we propose a detection method that is based on anomaly detection and uses data mining to find temporal patterns and rules. The advantage of this system compared to the previous database intrusion detection systems is that it can detect malicious behaviors in both transaction and inter-transaction levels using a hybrid approach, including specification-based detection and anomaly detection. In order to evaluate the accuracy of the proposed system, some experiments have been done. The experimental evaluation results show high accuracy and effectiveness of the proposed system.
Starting Page	809
Ending Page	814
File Size	372619
Page Count	6
File Format	PDF
e-ISBN	9781479953592
DOI	10.1109/ISTEL.2014.7000815
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-09-09
Publisher Place	Iran
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Intrusion detection Organizations Inter-transaction rules State machine Database systems Specification Data mining Database security
Content Type	Text
Resource Type	Article

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