===================abstract==========================
Title: Intrusion Tolerant Database Systems

Speaker: Peng Liu
         U. of Maryland, Baltimore County

Abstract:

Similar to terrorist attacks in real world, an
information system can face a variety of security
threats during its life time and many of them
could turn out to be successful attacks,
or intrusions. Both homeland security and cybersecurity
have an urgent need for not only the ability to
prevent attacks but also the ability to recover from
and operate through attacks. Next generation secure
systems must be attack resilient.

Unfortunately, with a focus on prevention, traditional
secure information systems perform very poorly in
surviving intrusions. In this research, we developed an
intrusion tolerant database system (framework) called ITDB for
the purpose of using it as an example to explore the principles
of survivable or attack resilient information systems.

While traditional secure database systems rely on
preventive controls, ITDB can detect intrusions,
isolate attacks, contain, assess, and repair the damage
caused by intrusions in a timely manner such that a
self-stabilized level of data integrity and
availability can be provided to applications in
face of attacks. To justify our approach, we have implemented
an ITDB prototype. Preliminary testing measurements suggest
that when the accuracy of the intrusion detector is
satisfactory, ITDB is cost-effective.
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Bio

Peng Liu is an assistant professor of Information
Systems and Director of the Lab. for Information
and System Security at the University of Maryland,
Baltimore County. Dr. Liu received his BS and MS
degrees from the University of Science and
Technology of China and his PhD from the
George Mason University.  His current research
interests are in information security, survivability
and information assurance, database systems,
distributed systems, and mobile computing.
Dr. Liu has published a book and more than
20 referred technical papers. He is an IEEE
member and an ACM member. The URL for his
web page is www.research.umbc.edu/~pliu.
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