IEEE Consumer Electronics Magazine - November/December 2019 - 83

Abou-zeid, Pervez, Adinoyi, Aljlayl, and Yanikomeroglu discusses the recent technological advances
and standardization efforts in cellular vehicle-toeverything technologies that are being developed
to support the ultrareliable, low latency, and high
throughput required by autonomous vehicles.
The article "Hardware Security Primitives
for Vehicles" by Labrado and Thapliyal highlights hardware security primitives which are
hardware devices that can serve as building
blocks to create full-fledged security solutions
for vehicles. Specifically, the primitives are
grouped into physically unclonable functions
(PUFs) and security modules. Also, a few of
the potential security applications of PUFs
highlighted in the article include key storage,
pseudonym generation, and vehicle-to-vehicle
(V2V) communication.
The article "Data-Driven Extraction of Vehicle States from CAN Bus Traffic for Cyber Protection and Safety" by Moore, Bridges, Combs,
and Anderson develops a data driven, semisupervised approach to learn physical relationships of CAN signals from only a limited set of
CAN packets. These mappings are then used
to develop a hidden Markov model of the driver's actions upon which transaction analysis
is performed to optimize the real-time identification of the states. The proposed approach
builds an image from the CAN data, and then
trains a convolution neural network to give
emission probabilities to predict drivers's
actions.
The article "Using Map Matching to
Improve De-Identification of Sequences of
Connected Vehicle Locations" by Carter and
Ferber introduces a suppression-based control
that uses road network structure and metadata to mitigate inference-based privacy
attacks against sequences of locations. The
introduced procedure has broad applicability,
but it was designed to protect the US DOT
V2V communication data. The privacy control
introduced in this article attempts to generate
data useful for development of safety-critical
applications.

November/December 2019

ACKNOWLEDGMENT
We would like to thank all the authors for
their valuable contribution to this special section. We would like to acknowledge and thank
the reviewers for their valuable and timely
efforts to ensure the high quality of the articles.
We hope that this special section will serve as a
valuable resource for the CE community.

& REFERENCES
1. F. Pieri, C. Zambelli, A. Nannini, P. Olivo, and
S. Saponara, "Is consumer electronics redesigning
our cars?: Challenges of integrated technologies for
sensing, computing, and storage," IEEE Consum.
Electron. Mag., vol. 7, no. 5, pp. 8-17, Sep. 2018.
2. V. K. Kukkala, J. Tunnell, S. Pasricha, and T. Bradley,
"Advanced driver-assistance systems: A path toward
autonomous vehicles," IEEE Consum. Electron. Mag.,
vol. 7, no. 5, pp. 18-25, Sep. 2018.
3. R. R. Brooks, S. Sander, J. Deng, and J. Taiber,
"Automobile security concern," IEEE Veh. Technol.
Mag., vol. 4, no. 2, pp. 52-64, Jun. 2009.
4. "Cybersecurity best practices for modern vehicles,"
Nat. Highway Traffic Safety Admin., Washington, DC,
USA, Rep. DOT HS 812 333, Oct. 2016.
5. "Vehicle cybersecurity: DOT and industry have efforts
under way, but DOT needs to define its role in
responding to a real-world attack," U.S. Government
Accountability Office, GAO-16-350. Published: Mar.
24, 2016; Publicly Released: Apr. 25, 2016.

Himanshu Thapliyal is an Assistant Professor
and Endowed Robley D. Evans Faculty Fellow with
the Department of Electrical and Computer Engineering, University of Kentucky, Lexington, KY, USA.
Contact him at hthapliyal@uky.edu.
Saraju P. Mohanty is a Professor in Computer Science and Engineering with the University of North
Texas. Contact him at saraju.mohanty@unt.edu.
Stacy Prowell is the Chief Cyber Security
Research Scientist with Oak Ridge National Laboratory and is the Program Manager for the lab's Cybersecurity for Energy Delivery Systems Program.
Contact him at prowellsj@ornl.gov.

IEEE Consumer Electronics Magazine - November/December 2019

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