IEEE Transactions on Software Engineering - Special issue on computer security and privacy
Database security
A framework for constructing features and models for intrusion detection systems
ACM Transactions on Information and System Security (TISSEC)
User Profiling for Intrusion Detection Using Dynamic and Static Behavioral Models
PAKDD '02 Proceedings of the 6th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
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Protecting the integrity, confidentiality, and availability of mission critical data is one of the primary objectives of IT departments in industry, government, and research. Standard techniques to realize these objectives are often confined to network- and host-based intrusion detection systems, which are known to be inappropriate for handling security threats caused by insiders. This paper introduces the concept of data monitoring systems as an additional line of defense against external and internal security threats. These systems, which are closely coupled with a database managing mission critical data, provide IT personnel with effective means for specifying, detecting, and responding to anomalous behavior of data and data accesses caused by users and applications.