Tan, Kymie. The Application Of Neural Networks to UNIX Computer Security. 1997.  Home/Search Document Details and Download
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A Visual Approach for Monitoring Logs - Girardin, Brodbeck (1998) (8 citations) (Correct)
....goal is to provide automatic classification of the events to permit unattended operations. This approach does usually not rely on any prior knowledge about the content of the data. Applications focussing mainly on computer security, can be found in [Hofmeyr, et al. 1998, Lankewicz, et al. 1997, Tan, 1997] While both the information visualization and machine learning approaches are promising, no tool combines the potential of both for monitoring event logs. By taking advantage of their strengths, it is possible to provide humans with an interactive display to better understand the activity ....
Tan, Kymie. The Application Of Neural Networks to UNIX Computer Security. 1997.
Doing Intrusion Detection Using Embedded Sensors - Zamboni (2000) (2 citations) (Correct)
....can be applied in MDF for knowledge discovery. However, it is not the rst time that these techniques have been applied to the eld of intrusion detection. Automatic classi cation techniques have been applied to the analysis of sequences of events [18, 30] with good success rates, and Tan [47] used neural networks to classify network trac. Frank [20] has surveyed some of these techniques and their possible uses in intrusion detection. In the area of innovative intrusion detection techniques, research has been made lately by Hofmeyr [26] on adaptive intrusion detection , which uses an ....
....of the implementation, deployment and use of the intrusion detection system. I call this a data driven design. In other cases, the intrusion detection system may be built with the explicit purpose of testing a speci c data analysis technique (for example, a neural network, as described by Tan [47]) In this case, the analysis technique will dictate the data that is needed, where it needs to be collected, and other factors. I call this a analysis driven design. These models may be useful for further understanding the design process of an intrusion detection system, and may be fully ....
Kymie Tan. An application of neural networks to UNIX computer security. In Proceedings of the IEEE International Conference on Neural Networks, November 1995. URL ftp://coast.cs.purdue.edu/pub/ doc/intrusion_detection/neuralnetworks.ps.
An Eye on Network Intruder-Administrator Shootouts - Girardin (1999) (4 citations) (Correct)
....and malicious activity. An attack might leave no identifiable clues that an intrusion detection system will pick up [Amoroso, 1994] Descriptions of such anomaly detection systems can be found in [Anderson et al. 1995, Frank, 1994, Hofmeyr et al. 1998, Lane et al. 1997, Lankewicz et al. 1997, Tan, 1997] In misuse detection systems, events are compared against a database of known attack signatures. They are comparable to virus scanners and therefore exhibit the same problems. They will not be able to detect attacks they do not know about and therefore rely on the quality and completeness of ....
Tan, Kymie. The Application Of Neural Networks to UNIX Computer Security. 1997.
Real-Time Intrusion Detection and Suppression in ATM Networks - Bettati Zhao (1999) (2 citations) (Correct)
....the traffic specification during connection setup if they want their QoS requirements to be met. This traffic specification provides the upper bound of the traffic envelope. An additional minimum traffic specification would provide the lower bound. No sophisticated anomaly detector is needed ([6, 10]) to determine whether an intrusion occurred, since the envelope parameters have been provided during connection setup. For example, if a maximum traffic function is exceeded for a connection, an alert must be triggered to indicate that an intrusion may have happened and that the system is ....
K. Tan, "The Application of Neural Networks to UNIX Computer Security," Proceedings of the International Conference on Neural Networks '95, Perth, Australia, 1995.
Artificial Neural Networks for Misuse Detection - Cannady (1998) (12 citations) (Correct)
No context found.
Tan, K. (1995). The Application of Neural Networks to UNIX Computer Security. In Proceedings of the IEEE International Conference on Neural Networks, Vol.1 pp. 476-481.
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