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[CCICADA-announce] DIMACS/CCICADA Student-organized Seminar Series-Tuesday, November 2, 2010

Linda Casals lindac at dimacs.rutgers.edu
Tue Nov 2 11:08:56 EDT 2010


*******************REMINDER******************
*********************************************************
 Student-organized Seminar Series Sponsored by DIMACS and
   the Command, Control, and Interoperability Center 
          for Advanced Data Analysis (CCICADA) 

***************************************************

Title: A Streaming Model for Anomaly Detection in Communication 
        Networks: A Renewal Theory Approach

Speaker: Brian Thompson, Rutgers University

Date: Tuesday, November 2, 2010; 12:00-1:00pm

Location: DIMACS Center, CoRE Bldg, Room 431, Rutgers University, Busch Campus

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Abstract:

Any medium for human interaction (e.g. email, phone, face-to-face
encounters, IP connections) can be modeled by a network graph, where
nodes represent people or computers, and an edge signifies a
relationship between two entities. However, communication networks are
characterized by their highly dynamic nature - that Alice and Bob are
friends says nothing about the frequency or regularity of their
communication. Analyzing communication patterns across a network
should therefore take into account not just the graph structure, but
also a wealth of temporal information.

In this work, we first build a stochastic model for the system based
on temporal communication patterns across each edge. We then perform
statistical analysis to quantitatively measure the degree of anomaly
in an arbitrary subgraph. Finally, we develop graph algorithms to
efficiently identify subgraphs with the most anomalous
behavior. Experiments on a variety of real-world datasets show the
effectiveness and scalability of our approach, as well as a clear and
intuitive visual interface.





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