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Jeremy Frank. Articial intelligence and intrusion detection: Current and future directions. In Proceedings of the 17th National Computer Security Conference, Baltimore, MD, October 1994. URL http://seclab. cs.ucdavis.edu/papers/ncsc.94.ps.

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Doing Intrusion Detection Using Embedded Sensors - Zamboni (2000)   (2 citations)  (Correct)

....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 analogy to the human immune system to provide a highly ....

Jeremy Frank. Articial intelligence and intrusion detection: Current and future directions. In Proceedings of the 17th National Computer Security Conference, Baltimore, MD, October 1994. URL http://seclab. cs.ucdavis.edu/papers/ncsc.94.ps.


Research in Intrusion-Detection Systems: A Survey - Axelsson (1998)   (18 citations)  (Correct)

....several months years compared to the processing turn around time. 6 ume of data is often exceedingly large 8 i.e. this is a crucial element in any intrusion detection system, and this has led some researchers in the eld to view intrusion detection as a problem in audit data reduction [14]. Processing The processing block is the heart of the intrusion detection system. It is here that one or many algorithms are executed to nd evidence (with some degree of certainty) of suspicious behaviour, in the audit trail. Research has to date uncovered three principles of performing ....

Jeremy Frank. Articial intelligence and intrusion detection: Current and future directions. Division of Computer Science, University of California at Davis, Davis, CA. 95619, June 9 1994.

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