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[CCICADA-announce] DIMACS/CCICADA Interdisciplinary Seminar Series- Monday, February 21, 2011

Linda Casals lindac at dimacs.rutgers.edu
Fri Feb 18 11:46:55 EST 2011


DIMACS/CCICADA Interdisciplinary Seminar Series Presents
               
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Title: A Streaming Model for Anomaly Detection in Communication 
        Networks: A Renewal Theory Approach

Speaker: Brian Thompson, CS, Rutgers University

Date: Monday, February 21, 2011 12:00 - 1:00 pm

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

Anomaly detection has a wide range of real-world applications,
including: monitoring computer network usage, virus detection
(computer or human), credit card fraud detection, and natural disaster
prediction. Unprecedented growth in the capability to collect massive
amounts of data has revolutionized the field. Gigabytes of data from
communication networks such as cell phone, email, and internet traffic
are captured every second, introducing new challenges in efficiency
and scalability. Furthermore, communication data is highly dynamic, so
a comprehensive solution should exploit temporal as well as relational
aspects of network communication.

In this work we propose an approach to anomaly detection in streaming
communication data that is able to leverage the wealth of temporal and
relational information inherent in the data. We first build a
stochastic model for the system based on temporal communication
patterns across each edge, which we call the REWARDS (REneWal theory
Approach for Real-time Data Streams) model. We then define a measure
of anomaly for an arbitrary subgraph based on the likelihood of its
recent activity given past behavior. Finally, we develop an algorithm
to efficiently identify subgraphs with the most anomalous
activity. Experiments on a variety of real-world datasets show the
effectiveness and scalability of our approach.



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