Biomonitoring, phylogenetics and anomaly aggregation systems

Authors:
David R. B. Stockwell;Jason T. L. Wang
Affiliations:
San Diego Supercomputer Center, University of California San Diego, La Jolla, CA;Department of Computer Science, New Jersey Institute of Technology, Newark, NJ
Venue:
ISI'05 Proceedings of the 2005 IEEE international conference on Intelligence and Security Informatics
Year:
2005

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Abstract

While some researchers have exploited the similarity between cyber attacks and epidemics we believe there is also potential to leverage considerable experience gained in other biological domains: phylogenetics, ecological niche modeling, and biomonitoring. Here we describe some new ideas for threat detection from biomonitoring, and approximate graph searching and matching for cross network aggregation. Generic anomaly aggregation systems using these methods could detect and model the inheritance and evolution of vulnerability and threats across multiple domains and time scales.