Privacy preservation for V2G networks in smart grid: A survey

Abstract

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.

A review on the features and technologies for energy efficiency of smart grid

“…Vehicle to grid (V2G) network is a crucial part of smart grid. Han et al 63 analyzes privacy preservation approaches, which address problems in V2G networks, including anonymous authentication, location privacy, identification privacy, concealed data aggregation, and privacy-preserving billing and payment. These approaches include homomorphic encryption, blind signature, group signature, ring signature, third party anonymity, and anonymity networks.…”

Socio-technical smart grid optimization via decentralized charge control of electric vehicles

“…single point of failure. Moreover, centralized charging control requires the acquisition of sensitive personal data such as mobility patterns and residential occupancy information that can violate privacy and allow discriminatory data analytics, which can in turn undermine the adoption of electric vehicles and the trust of citizens on this technology [6,7,8]. Finally, charging control is not exclusively a technical challenge, dealt mainly as such in earlier work (see below), but a social one as well.…”

A hybrid artificial-noise and secret-key scheme for securing OFDM transmissions in V2G networks

“…Although vehicle-to-grid (V2G) connection reduces the power outage possibilities and can help the utility when EVs sell their energies to the grid, the connection introduces new challenges in terms of security since the privacy and security of EVs' owners are vulnerable to eavesdropping. Since an eavesdropping node can extract the identity, activity status, and data of the transmitting devices, it is very crucial to protect the communications systems against such attacks [1], [2].…”