IEEE Transactions on Software Engineering - Special issue on computer security and privacy
Neural Networks
Intrusion detection with neural networks
NIPS '97 Proceedings of the 1997 conference on Advances in neural information processing systems 10
Temporal sequence learning and data reduction for anomaly detection
ACM Transactions on Information and System Security (TISSEC)
Intrusion detection
Advanced Methods in Neural Computing
Advanced Methods in Neural Computing
Enhanced Password Authentication through Fuzzy Logic
IEEE Expert: Intelligent Systems and Their Applications
Masquerade Detection Using Truncated Command Lines
DSN '02 Proceedings of the 2002 International Conference on Dependable Systems and Networks
Machine learning techniques for the computer security domain of anomaly detection
Machine learning techniques for the computer security domain of anomaly detection
Intrusion detection through learning behavior model
Computer Communications
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This paper investigates a new method to more effectively detect anomaly intrusions from masqueraders. Typing biometrics of keystroke patterns from users are collected and used as the normal behavior profiles. The supervised learning probabilistic neural network (PNN) is used for the classification of data as from a normal user or from a masquerader. Experimental show the good results with a high rate of successful detection of masqueraders and a low false alarm rate.