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

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dc.contributor.author Rao, Udai Pratap
dc.contributor.author Sahani, G. J.
dc.contributor.author Patel, Dhiren R.
dc.contributor.other Presented at the 2010 International Conference on Computing Communication and Networking Technologies (ICCCNT)
dc.date.accessioned 2014-04-22T16:30:46Z
dc.date.available 2014-04-22T16:30:46Z
dc.date.issued 2010
dc.identifier.citation Rao, Udai Pratap; Sahani, G. J. and Patel, Dhiren R., “Machine learning proposed approach for detecting database intrusions in RBAC enabled databases”, presented at the 2010 International Conference on Computing Communication and Networking Technologies (ICCCNT), DOI: 10.1109/ICCCNT.2010.5591574 , pp. 1–4, 2010. en_US
dc.identifier.uri http://dx.doi.org/10.1109/ICCCNT.2010.5591574
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/1040
dc.description.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. en_US
dc.description.statementofresponsibility by Udai Pratap Rao, G. J. Sahani and Dhiren R. Patel
dc.format.extent pp. 1–4
dc.language.iso en en_US
dc.publisher Institute of Electrical and Electronics Engineers (IEEE) en_US
dc.subject Correlation en_US
dc.subject Data mining en_US
dc.subject Database systems en_US
dc.subject Intrusion detection en_US
dc.subject Probability en_US
dc.title Machine learning proposed approach for detecting database intrusions in RBAC enabled databases en_US
dc.type Article en_US


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