Increasing coverage to improve detection of network and host anomalies

Author:

Tandon Gaurav,Chan Philip K.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference40 articles.

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2. Agrawal, R., & Srikant, R. (1994). Fast algorithms for mining association rules. In International conference on very large data bases.

3. Anderson, D., Lunt, T. F., Javitz, H., Tamaru, A., & Valdes, A. (1995). Detecting unusual program behavior using the statistical component of the next generation intrusion detection expert system (nides). Technical Report SRI-CSL-95-06, Computer Science Laboratory SRI.

4. Barbara, D., Couto, J., Jajodia, S., Popyack, L., & Wu, N. (2001). Adam: detecting intrusions by data mining. In IEEE workshop on information assurance and security.

5. Bhatkar, S., Chaturvedi, A., & Sekar, R. (2006). Dataflow anomaly detection. In IEEE symposium on security and privacy.

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