Preventing battery attacks on electrical vehicles based on data-driven behavior modeling

Author:

Kang Liuwang1,Shen Haiying1

Affiliation:

1. University of Virginia

Funder

Microsoft Research Faculty Fellowship

National Science Foundation

Publisher

ACM

Reference19 articles.

1. 2016. Extract Data from Nissan Leaf API. https://github.com/glynhudson/leaf-python-mqtt/. 2016. Extract Data from Nissan Leaf API. https://github.com/glynhudson/leaf-python-mqtt/.

2. 2016. Nissan Leaf Electric Cars Susceptible to Hacking Attacks. https://securityzap.com/nissan/leaf/electric/cars/susceptible/to/hacking/attacks/. 2016. Nissan Leaf Electric Cars Susceptible to Hacking Attacks. https://securityzap.com/nissan/leaf/electric/cars/susceptible/to/hacking/attacks/.

3. 2018. NissanConnect EV. https://www.nissanusa.com/connect/features-app/system-requirements/nissan-connect-ev/. 2018. NissanConnect EV. https://www.nissanusa.com/connect/features-app/system-requirements/nissan-connect-ev/.

4. 2018. Tesla Android and iPhone app. https://www.tesla.com/support/android-and-iphone-app/. 2018. Tesla Android and iPhone app. https://www.tesla.com/support/android-and-iphone-app/.

5. S Abada G. Marlair etal 2016. Safety focused modeling of lithium-ion batteries: A review. J. Power Sources 306 (2016). S Abada G. Marlair et al. 2016. Safety focused modeling of lithium-ion batteries: A review. J. Power Sources 306 (2016).

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