Location Privacy for Vehicle-to-Grid Interaction through Battery Management

2012 ◽  
Author(s):  
Mark Stegelmann ◽  
Dogan Kesdogan
Keyword(s):  
Location Privacy ◽  
Battery Management ◽  
Vehicle To Grid

Optimal battery management for vehicle-to-home and vehicle-to-grid operations in a residential case study

Energy ◽  
2019 ◽  
Vol 175 ◽  
pp. 704-721 ◽  
Author(s):  
Paolo Lazzeroni ◽  
Sergio Olivero ◽  
Maurizio Repetto ◽  
Federico Stirano ◽  
Marc Vallet
Keyword(s):  
Battery Management ◽  
Vehicle To Grid

scholarly journals The Location Privacy Protection of Electric Vehicles with Differential Privacy in V2G Networks

Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2625 ◽  
Author(s):  
Yuancheng Li ◽  
Pan Zhang ◽  
Yimeng Wang
Keyword(s):  
Electric Vehicles ◽  
Spatial Data ◽  
Privacy Protection ◽  
Smart Grids ◽  
Large Scale ◽  
Location Privacy ◽  
Differential Privacy ◽  
Vehicle To Grid ◽  
Movement Trajectories ◽  
Location Privacy Protection

Vehicle-to-grid (V2G) is an important component of smart grids and plays a significant role in improving grid stability, reducing energy consumption and generating cost. However, while electric vehicles are being charged, it is possible to expose the location and movement trajectories of the electric vehicles, thereby triggering a series of privacy and security issues. In response to this problem, we propose a new quadtree-based spatial decomposition algorithm to protect the location privacy of electric vehicles. First of all, we use a random sampling algorithm, which is based on differential privacy, to obtain enough spatial data to achieve the balance between large-scale spatial data and the amount of noise. Secondly, in order to overcome the shortcomings of using tree height to control Laplacian noise in the quadtree, we use sparse vector technology to control the noise added to the tree nodes. Finally, according to the vehicle-to-grid network structure in the smart grid, we propose a location privacy protection model based on distributed differential privacy technology for EVs in vehicle-to-grid networks. We demonstrate application of the proposed model in real spatial data and show that it can achieve the best effect on the security of the algorithm and the availability of data.

scholarly journals A Lightweight Authentication Scheme for V2G Communications: A PUF-Based Approach Ensuring Cyber/Physical Security and Identity/Location Privacy

Electronics ◽  
2020 ◽  
Vol 9 (9) ◽  
pp. 1479
Author(s):  
Masoud Kaveh ◽  
Diego Martín ◽  
Mohammad Reza Mosavi
Keyword(s):  
Smart Grid ◽  
Location Privacy ◽  
Mutual Authentication ◽  
Authentication Scheme ◽  
Physical Security ◽  
Cryptographic Primitives ◽  
Vehicle To Grid ◽  
Electrical Vehicles ◽  
Lightweight Authentication ◽  
Near Future

Vehicle-to-grid (V2G) technology has become a promising concept for the near future smart grid eco-system. V2G improves smart grid resiliency by enabling two-way communication and electricity flows while reducing the greenhouse gases emission. V2G practicality and stability is strongly based on the exchanged data between electrical vehicles (EVs) and the grid server (GS). However, using communication protocols to exchange vital information leads grid to being vulnerable against various types of attack. To prevent the well-known attacks in V2G network, this paper proposes a privacy-aware authentication scheme that ensures data integrity, confidentiality, users’ identity and location privacy, mutual authentication, and physical security based on physical unclonable function (PUF). Furthermore, the performance analysis shows that the proposed scheme outperforms the state-of-the-art, since EVs only use lightweight cryptographic primitives for every protocol execution.

A Privacy Preserving Scheme for Vehicle to Grid Networks Based on Homomorphic Cryptography

2014 ◽  
Vol 1014 ◽  
pp. 516-519
Author(s):  
Zhong Wei Sun ◽  
Wen Xiao Yan
Keyword(s):  
Location Privacy ◽  
Homomorphic Encryption ◽  
Privacy Preserving ◽  
Close Monitoring ◽  
Fully Homomorphic Encryption ◽  
Privacy Concerns ◽  
Vehicle To Grid ◽  
Grid Networks ◽  
The Status ◽  
Communication Scheme

Vehicle–to-Grid (V2G) is an essential component of smart grid for their capability of providing better ancillary services. The operation is based on monitoring the status of individual Electric Vehicle (EV) continuously and designing an incentive scheme to attract sufficient participating EVs. However, the close monitoring might raise privacy concerns from the EV owners about real identity and location leakage. Based on the fully homomorphic encryption algorithm, a privacy preserving V2G communication scheme is put forward in the paper. The proposed protocol can achieve the identity and location privacy, security requirement of confidentiality and integrity of the communications.

To Enhance Recommendation by Providing Location Privacy in GeoSocial Application

2015 ◽  
Vol 03 (05) ◽  
pp. 3897-3902
Author(s):  
Charushila Kapde, Priyanka Kumbhar
Keyword(s):  
Location Privacy
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