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Sohrabi, Mina
- An overview of Anomaly Based Database Intrusion Detection Systems
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Authors
Affiliations
1 Department of Computer Science, Shahid Bahonar University of Kerman, Kerman, IR
2 School of Electrical Engineering and Computer Sciences, Shiraz University, Shiraz, IR
3 Young Researchers Society, Shahid Bahonar University of Kerman, Kerman, IR
1 Department of Computer Science, Shahid Bahonar University of Kerman, Kerman, IR
2 School of Electrical Engineering and Computer Sciences, Shiraz University, Shiraz, IR
3 Young Researchers Society, Shahid Bahonar University of Kerman, Kerman, IR
Source
Indian Journal of Science and Technology, Vol 5, No 10 (2012), Pagination: 3550-3559Abstract
Database security is a crucial concern today. One mechanism for safeguarding information stored in database systems is to use an Intrusion Detection System (IDS). Recently researchers are working on using machine learning techniques to increase the accuracy of the detection malicious attacks on database systems; Such as mining data dependencies among data items, access patterns of users and learning SQL commands. In this paper, we survey some intrusion detection approaches, which use these techniques. Also, we discuss the advantages and disadvantages of the approaches and compare them with considering their different features.Keywords
Security, Database Systems, Intrusion Detection, Machine Learning, Data DependencyFull Text
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