Title: Next Generation Traffic Identification in IP networks

The past few years have witnessed a dramatic increase in the number and
variety of applications running over the Internet and over enterprise IP
networks. In this talk I shall focus on two related areas where we are
developing traffic identification techniques to facilitate network
management.

An accurate mapping of traffic to applications is important for a
broad range of network management and measurement tasks including
traffic engineering, service differentiation, performance/failure monitoring,
and security.  However the traditional  port number-based approach has
become increasingly inaccurate for a variety of reasons. In the first
part of this  talk, I shall present our exploration of application
traffic identification in the context of 2 real-world problems. First,
we consider the problem of accurately identifying P2P application
traffic in real-time on high speed links, and explore the use of
content-based application signatures.  Second, we consider the problem
of Class-of-Service Mapping for QoS in enterprise networks. Here we
consider a solution framework for measurement based classification of
traffic for QoS based on statistical application signatures.  

In the second part of this talk, I shall consider  the topic of
Communities of interest (COI) in data networks. COIs have been applied
in a variety of environments ranging from characterizing the online
buying behavior of individuals to detecting fraud in telephone networks.
It would clearly be beneficial if COIs can be used  to characterize and
predict the  behavior of hosts within a data network. I shall describe
our  methodology and initial results for characterizing COIs of hosts
within an IP network.