Sundaram, A. (1996, April). An introducion to intrusion detection. ACM Crossroads -- Special Issue on Computer Security 2 (4). Available from http://www.acm.org/crossroads/xrds2-4/ intrus.html.

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Adaptive Fraud Detection - Fawcett, Foster (1997)   (40 citations)  (Correct)

....The investigation and design of such techniques is an important area for future research (Provost and Fawcett 1997) 7. Related Work Fraud detection is related to intrusion detection, a field of computer security concerned with detecting attacks on computers and computer networks (Frank 1994; Sundaram 1996; Kumar 1995) Many forms of intrusion are instances of superimposition fraud, and thus candidates for systems built with our framework. Within the intrusion detection community, anomaly detection systems try to characterize behavior of individual users in order to detect intrusions on that user s ....

....users in order to detect intrusions on that user s account via anomalies in behavior. Existing anomaly detection systems typically examine audit trails of user activities, which fill the same roll as cellular call records in DC1. DC 1 would be considered a statistical anomaly detection system. Sundaram (1996) writes: An open issue with statistical approaches in particular, and anomaly detection systems in general, is the selection of measures to monitor and the choice of metrics. It is not known exactly what the subset of all possible measures that accurately predicts intrusive activities is. DC 1 s ....

Sundaram, A. (1996, April). An introducion to intrusion detection. ACM Crossroads -- Special Issue on Computer Security 2 (4). Available from http://www.acm.org/crossroads/xrds2-4/ intrus.html.

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