Jason Haas - Sandia
Sep 19, 2012
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"Global Revocation for the Intersection Collision Warning Safety Application"
Identifying and removing malicious insiders from a network is a topic of
active research. Vehicular ad hoc networks (VANETs) may suffer from
insider attacks; that is, an attacker may use authorized vehicles to
attack other vehicles. Specifically, attackers may use their vehicles to
broadcast specially formed packets that will trigger warnings in target
vehicles. This malicious behavior could have a significant detrimental
effect on cooperative safety applications (SAs), one of the driving forces
behind VANET deployment.
We propose modifications to the intersection collision warning (ICW) SA
that enable a certificate authority (CA) to be offline and yet to decide
to revoke a vehicle's certificates using retransmitted information that
cannot repudiated. Our approach differs from previous proposals in that
it is SA specific, and it is resilient to Sybil attacks. We simulate and
measure the resources an attacker requires to attack a vehicle using the
ICW SA without our modifications and demonstrate that our additions reduce
the false positive rate arising from errors in estimated vehicle dynamics.
About the Speaker
Jason J. Haas graduated from the University of Wisconsin-Madison with his
B.S. in Electrical and Computer Engineering (ECE) and Physics. He
received his M.S. in 2007 and his PhD in 2010 in ECE from the University
of Illinois at Urbana-Champaign. His dissertation was on security and
privacy for vehicular ad hoc networks supporting
revocation. Jason has worked on defining security mechanisms for
vehicular ad hoc networks, participating in the Crash Avoidance Metrics
Partnership's (CAMP) Vehicular Safety Communications (VSC) program as a
contractor. Jason has also done work on commercial vehicle control
systems and cyber security for commercial vehicles. Currently, Jason is a
Senior Member of the Technical Staff at Sandia National Laboratories in
Albuquerque, New Mexico, where he continues to conduct research on
security for vehicular ad hoc networks.
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