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Plenary
Lecture
Abstract: The development of secure and dependable
communication and sensor networks is a major objective
for both civilian and military systems. There are two
types of threat that are considered in this proposal:
The first type is the cyberthreat, based on cyberattacks
and software based approaches. One of the thrusts of
this effort is to advance the use of statistical
methodology to model cyberattacks by viewing them as
abrupt changes in traffic patterns. Such approaches have
been effective, but there is a need to advance the state
of the art, making them more sophisticated and flexible
to respond to changing cyberthreat forms. In this talk
we discuss the use and advances of the novel approach of
using statistical tools of decentralized fastest change
detection as a building tool of a theoretical and
practically implementable intrusion detection
system.This research has been conducted at Texas
Southern University during the past 3-4 years.
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