NDLI: Machine learning proposed approach for detecting database intrusions in RBAC enabled databases

Content Provider	IEEE Xplore Digital Library
Author	Rao, U.P. Sahani, G.J. Patel, D.R.
Copyright Year	2010
Description	Author affiliation: Dept. of Computer Science & Engineering, Indian Institute of Technology Gandhinagar, Ahmedabad, Gujarat, India (Patel, D.R.) \|\| Dept. of Computer Engineering, SVIT, Vadodara, Gujarat, India (Sahani, G.J.) \|\| Dept. of Computer Engineering, S.V. National Institute of Technology Surat, Gujarat, India (Rao, U.P.)
Abstract	Information is valuable asset of any organization which is stored in databases. Data in such databases may contain credit card numbers, social security number or personal medical records etc. Failing to protect these databases from intrusions will result in loss of customer's confidence and might even result in lawsuits. Traditional database security mechanism does not design to detect anomalous behavior of database users. There are number of approaches to detect intrusions in network. But they cannot detect intrusions in database. There have been very few ID mechanisms specifically tailored to database systems. We propose transaction level approach to detect malicious behavior in database systems enabled with Role Based Access Control (RBAC) mechanism.
Starting Page	1
Ending Page	4
File Size	251431
Page Count	4
File Format	PDF
ISBN	9781424465910
e-ISBN	9781424465927
DOI	10.1109/ICCCNT.2010.5591574
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-29
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	RBAC mechanism Malicious transactions Correlation Intrusion detection Machine learning Probability Database systems Data mining Database security
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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