Impact of a smart grid to the electric vehicle ecosystem from a privacy and security perspective

Jouvray, Christophe; Pellischek, Gloria; Tiguercha, Mourad

doi:10.1109/evs.2013.6914733

Cited by 4 publications

(3 citation statements)

References 3 publications

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“…• Confidentiality is about protecting data against unauthorised access, disclosure, or theft and is directly linked to information privacy [75]. Information with low confidentiality concerns may be considered less threatening if exposed beyond its intended audience, while one with high confidentiality concerns is considered private and must be protected against malicious intents [76].…”

Section: Data Privacy Characteristicsmentioning

confidence: 99%

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Engineering data-driven solutions for future mobility: perspectives and challenges

Tuncer¹,

Babacan²,

Guiazon³

et al. 2022

Preprint

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The automotive industry is currently undergoing major changes. These include a general shift towards decarbonised mode of transportation, the implementation of mobility as an end-to-end service, and the transition to vehicles that increasingly rely on software and digital tools to function. Digitalisation is expected to play a key role in shaping the future of mobility ecosystems by fostering the integration of traditionally independent system domains in the energy, transportation and information sectors. This report discusses opportunities and challenges for engineering data-driven solutions that support the requirements of future digitalised mobility systems based on three use cases for electric vehicle public charging infrastructures, services and security.4 Connected and automated mobility: security and data protection 4.

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Section: Data Privacy Characteristicsmentioning

confidence: 99%

“…• Integrity assesses protection of data exchange and data storage against improper modifi-cations or destruction [75].…”

Section: Data Privacy Characteristicsmentioning

confidence: 99%

Engineering data-driven solutions for future mobility: perspectives and challenges

Tuncer¹,

Babacan²,

Guiazon³

et al. 2022

Preprint

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“…To attack V2G networks is much easier than to attack the traditional grid. [29], and SAE series [30]. All of these protocols have vulnerabilities.…”

Section: Communicationmentioning

confidence: 99%

Privacy preservation for V2G networks in smart grid: A survey

Han

Xiao

2016

Computer Communications

129

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Vehicle to grid (V2G) network is a crucial part of smart grid. An electric vehicle (EV) in a V2G network uses electricity instead of gasoline, and this benefits the environment and helps mitigate the energy crisis. By using its battery capacity, the vehicle can serve temporarily as a distributed energy storage system to mitigate peak load of the power grid. However, the two-way communication and power flows not only facilitate the functionality of V2G network, but they also facilitate attackers as well. Privacy is now a big obstacle in the way of the development of V2G networks. The privacy preservation problem in V2G networks could be more severe than in other parts of Smart Grid due to its e-mobility. In this paper, we will analyze and summarize privacy preservation approaches which achieve various privacy preservation goals. We will survey research works, based on existing privacy preservation techniques, which address various privacy preservation problems in V2G networks, including anonymous authentication, location privacy, identification privacy, concealed data aggregation, privacy-preserving billing and payment, and privacy-preserving data publication. These techniques include homomorphic encryption, blind signature, group signature, ring signature, third party anonymity, and anonymity networks. We will summarize solved problems and issues of these techniques, and introduce possible solutions for unsolved problems.

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