The KDD process for extracting useful knowledge from volumes of data
Communications of the ACM
Inside risks: Securing the information infrastructure
Communications of the ACM
A cop on the beat: collecting and appraising intrusion evidence
Communications of the ACM
DEMIDS: a misuse detection system for database systems
Integrity and internal control information systems
The base-rate fallacy and the difficulty of intrusion detection
ACM Transactions on Information and System Security (TISSEC)
A Novel Intrusion Detection System Model for Securing Web-based Database Systems
COMPSAC '01 Proceedings of the 25th International Computer Software and Applications Conference on Invigorating Software Development
Learning Fingerprints for a Database Intrusion Detection System
ESORICS '02 Proceedings of the 7th European Symposium on Research in Computer Security
Distance-based outliers: algorithms and applications
The VLDB Journal — The International Journal on Very Large Data Bases
Mining intrusion detection alarms for actionable knowledge
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Intrusion Detection in Real-Time Database Systems via Time Signatures
RTAS '00 Proceedings of the Sixth IEEE Real Time Technology and Applications Symposium (RTAS 2000)
A Computer Host-Based User Anomaly Detection System Using the Self-Organizing Map
IJCNN '00 Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 5 - Volume 5
Balancing confidentiality and efficiency in untrusted relational DBMSs
Proceedings of the 10th ACM conference on Computer and communications security
Database intrusion detection based on user query frequent itemsets mining with item constraints
InfoSecu '04 Proceedings of the 3rd international conference on Information security
Dempster-Shafer Theory for Intrusion Detection in Ad Hoc Networks
IEEE Internet Computing
An introduction to ROC analysis
Pattern Recognition Letters - Special issue: ROC analysis in pattern recognition
Detecting anomalous access patterns in relational databases
The VLDB Journal — The International Journal on Very Large Data Bases
ACISP'07 Proceedings of the 12th Australasian conference on Information security and privacy
Weighted intra-transactional rule mining for database intrusion detection
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
AdaBoost-Based Algorithm for Network Intrusion Detection
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Guest editorial: A brief overview of data leakage and insider threats
Information Systems Frontiers
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Insider threats have gained prominence and pose the most challenging threats to a database system. In this paper, we have proposed a new approach for detecting intrusive attacks in databases by fusion of information sources and use of belief update. In database intrusion detection, only intra-transactional features are not sufficient for detecting attackers within the organization as they are potentially familiar with the day-to-day work. Thus, the proposed system uses inter-transactional as well as intra-transactional features for intrusion detection. Moreover, we have also considered three different sensitivity levels of table attributes for keeping track of the malicious modification of the highly sensitive attributes more carefully. We have analyzed the performance of the proposed database intrusion detection system using stochastic models. Our system performs significantly better compared to two intrusion detection systems recently proposed in the literature.