Identifying Threats Using Graph-based Anomaly Detection-Reference-Cited by-同舟云学术

Identifying Threats Using Graph-based Anomaly Detection

Published:2009 Issue: Volume: Page:73-108
ISSN:
Container-title:Machine Learning in Cyber Trust
language:
Short-container-title:

Author:

Eberle William,Holder Lawrence,Cook Diane

Publisher

Springer US

Link

http://link.springer.com/content/pdf/10.1007/978-0-387-88735-7_4.pdf

Reference37 articles.

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2. Boykin, P. and Roychowdhury, V. Leveraging Social Networks to Fight Spam. IEEE Computer, April 2005, 38(4), 61-67, 2005.

3. Broder, A., Kumar, R., Maghoul, F., Raghavan, P., Rajagopalan, S., Stata, R., Tomkins, A. and Wiener, J. Graph Structure in the Web. Computer Networks, Vol. 33, 309-320, 2000.

4. Caruso, C. and Malerba, D. Clustering as an add-on for firewalls. Data Mining, WIT Press, 2004.

5. Chakrabarti, D. AutoPart: Parameter-Free Graph Partitioning and Outlier Detection. Knowledge Discovery in Databases: PKDD 2004, 8th European Conference on Principles and Practice of Knowledge Discovery in Databases, 112-124, 2004.

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