Behavioral analysis of Internet traffic
We are interested in studying the infrastructure scalability and
vulnerabilities of our expanding communication networks, by means of
analyzing the statistical behavioral patterns that emerge and are observable
in Internet traffic data. The idea is that such analysis may lead to robust
design/planning/management tools as well as methods for mitigating and/or
immunizing against attacks by early detection of anomalous patterns
correlated with malicious behavior. The networks considered span a very
broad range of scale, from individual interactions (e.g., social
engineering, phishing, covert communication) to application-specific flows
(e.g. spam, email and Web based DDoS) to global-scale Internet traffic
networks (e.g. Internet2 peer networks and worms).
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Image: Web topology simulated according to growth model in F. Menczer, PNAS
101:5261, 2004. Visualization by Mark Meiss.