ECE professor Rick Blum seeks to inject cybersecurity at every level of the autonomous vehicle networks of the future
From: Lehigh University P.C. College of Engineering and Applied Science
October 25, 2022 -- Whether
they are built by billionaires plagued by social media addictions, or
long-standing corporations of the traditional automotive industry, self-driving
vehicles are the future of moving people and stuff.
As they traverse the
air, land, or sea, encountering one another or other obstacles, these
autonomous vehicles will need to talk to each other. And even cars with actual
drivers could benefit from the ability to work together to avoid calamity and
assure efficiency. Temporary, ad hoc networks will form around sets of vehicles
and the onboard sensors and communications technology that allow them to
navigate; they will interact, enabling them all to “see” one another and react
accordingly.
“The current trend
toward incorporating powerful sensors and communications to form vehicle
networks has tremendous potential,” says Rick Blum, the
Robert W. Wieseman Professor of Electrical and Computer Engineering at Lehigh
University. “But it also has the potential to create a cybersecurity
nightmare―or worse. Developing theory around the impact and mitigation of
cyberattacks on networks of autonomous and human driven vehicles is critical
and urgent, and further study is greatly needed.”
Blum intends to drive
that study forward through a new three-year, $500,000 grant from the Office of
Naval Research entitled “Cybersecurity in Dynamic Multiple Agent Vehicle
Networks.” The project has an official start date of August 1, 2022.
“This project hopes to
show that incorporating powerful sensors and communications to form vehicle
networks can actually provide greatly enhanced cybersecurity―if these resources
are used properly,” says Blum. “While autonomous vehicles are typically tested
for deployment just by driving them, this testing alone will not provide
suitable information on cyberattack vulnerability.”
In this effort, Blum
and his team will develop theory and algorithms for “near optimum low
complexity cyberattack mitigation” on sensor-equipped networks of autonomous
and human-driven vehicles.
“These algorithms will
employ engineering models coupled with unsupervised and supervised machine
learning and incorporate all relevant information,” he continues. “The
incorporation of engineering models will allow the overall process to be
interpretable, which is important for trust in such dangerous cyber physical
systems.”
About Rick Blum
Prof. Rick Blum holds
the Robert W. Wieseman Endowed Professorship in Electrical Engineering at
Lehigh University. He was the lead PI for Lehigh’s DoE Cybersecurity Center
(SEEDs) and directed the Integrated Networks for Electricity Cluster. He is
director of Lehigh's Signal Processing and Communication Research Lab and
is a former director of the Energy Systems Engineering Institute.
His group contributes
to the foundational theory of machine learning and statistical decision-making,
and illustrates this theory and its related algorithms by employing the
application areas of cybersecurity, Internet of Things, cyber physical systems,
sensor networking, energy networks, communications, radar, and sensor
processing.
Prior to joining the
Lehigh faculty, he was a senior member of technical staff at General Electric
Aerospace and graduated from GE’s Advanced Course in Engineering. He served on
the editorial board for the Journal of Advances in Information Fusion of
the International Society of Information Fusion. He was an associate editor
for IEEE Transactions on Signal Processing and IEEE
Communications Letters. He has edited special issues for IEEE
Transactions on Signal Processing, IEEE Journal of Selected Topics
in Signal Processing, and IEEE Journal on Selected Areas in
Communications. He was a member of the SAM Technical Committee (TC) of the
IEEE Signal Processing Society, the Signal Processing for Communications TC of
the IEEE Signal Processing Society, and the Communications Theory TC of the
IEEE Communication Society.
Blum is an IEEE Fellow,
an IEEE Signal Processing Society Distinguished Lecturer, an IEEE Third
Millennium Medal winner, and an ONR Young Investigator.
Related Links:
Lehigh University:
Signal Processing and Communication Research Lab
The above news story
comes from this link: https://engineering.lehigh.edu/news/article/why-do-self-driving-cars-crash
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