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

Stegelmann, Mark; Kesdoğan, Doğan

doi:10.1109/itng.2012.93

Cited by 19 publications

(13 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To solve this problem, utility companies have to monitor the locations and movements of BVs. However, constantly monitoring the BVs' locations leads to privacy concerns . Also, if an adversary breaks into the monitoring system, they could abuse the information.…”

Section: Framework and Main Threatsmentioning

confidence: 99%

“…E‐mobility is the most representative characteristic of V2G networks, which also raises various interests on the research of location privacy. The authors study vehicle mixing in V2G networks, which allows vehicles to be mixed with each other when the observed information can distinguish vehicles which are traced among stops. They analyze the functions of battery information to understand V2G interactions partly and see the effects on vehicle mixing.…”

Section: Related Workmentioning

confidence: 99%

“…They analyze the functions of battery information to understand V2G interactions partly and see the effects on vehicle mixing. Therefore, four cases are used for preventing an aggregator from obtaining additional information from battery status, common start and destination, common start, common destination, and pairwise distinct trips . Moreover, they propose three approaches to enhance location privacy, including data minimization, suppression, and generalization.…”

Section: Related Workmentioning

confidence: 99%

“…In the studies , system administrators can be also accountable for their actions, and these technologies can be applied here. Some previous research have proposed privacy‐preserving architectures for communication or payment system, but none of them addressed privacy‐preservation problems of data management.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

IP²DM: integrated privacy-preserving data management architecture for smart grid V2G networks

Han

Xiao

2016

Wirel. Commun. Mob. Comput.

View full text Add to dashboard Cite

With the development of battery vehicles, vehicle-to-grid (V2G) networks are becoming more and more important in smart grid. Although battery vehicles are environmentally friendly and flexible to use two-way communication and two-way electricity flow, they also raise privacy-preservation challenges, such as location and movement privacy. On the one hand, utility companies have to monitor the grid and analyze user data to control the power production, distribution, scheduling, and billing process, while typical users need to access their data later online. On the other hand, users are not willing to provide their personal data because they do not trust the system security of the utility companies where their data stored, and it may potentially expose their privacy. Therefore, in this paper, we study data management of V2G networks in smart grid with privacy-preservation to benefit both the customers and the utility companies. Both data aggregation and data publication of V2G networks are protected in the proposed architecture. To check its security, we analyze this architecture in several typical V2G networks attacks. We conduct several experiments to show that the proposed architecture is effective and efficient, and it can enhance user privacy protection while providing enough information for utility companies to analyze and monitor the grid.

show abstract

Section: Framework and Main Threatsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

IP²DM: integrated privacy-preserving data management architecture for smart grid V2G networks

Han

Xiao

2016

Wirel. Commun. Mob. Comput.

View full text Add to dashboard Cite

show abstract

“…The same authors further refine such adversary model in [23] by integrating information regarding the charge level of the EV's batteries. We consider the same attacker model, and our solution ensures that the aggregators schedule the charging/discharging process without knowing the total amount of energy to be provided to the battery, nor the time periods in which the EV is actually plugged.…”

Section: Related Workmentioning

confidence: 99%

Enabling Privacy in Vehicle-to-Grid Interactions for Battery Recharging

2014

View full text Add to dashboard Cite

The diffusion of Electric Vehicles (EV) fostered by the evolution of the power system towards the new concept of Smart Grid introduces several technological challenges related to the synergy among electricity-propelled vehicle fleets and the energy grid ecosystem. EVs promise to reduce carbon emissions by exploiting Renewable Energy Sources (RESes) for battery recharge, and could potentially serve as storage bank to flatten the fluctuations of power generation caused by the intermittent nature of RESes by relying on a load aggregator, which intelligently schedules the battery charge/discharge of a fleet of vehicles according to the users' requests and grid's needs. However, the introduction of such vehicle-to-grid (V2G) infrastructure rises also privacy concerns: plugging the vehicles in the recharging infrastructures may expose private information regarding the user's locations and travelling habits. Therefore, this paper proposes a privacy-preserving V2G infrastructure which does not disclose to the aggregator the current battery charge level, the amount of refilled energy, nor the time periods in which the vehicles are actually plugged in. The communication protocol relies on the Shamir Secret Sharing threshold cryptosystem. We evaluate the security properties of our solution and compare its performance to the optimal scheduling achievable by means of an Integer Linear Program (ILP) aimed at maximizing the ratio of the amount of charged/discharged energy to/from the EV's batteries to the grid power availability/request. This way, we quantify the reduction in the effectiveness of the scheduling strategy due to the preservation of data privacy.

show abstract

On the security of a novel privacy‐preserving authentication scheme for V2G networks

Javed,

Arslan Akram,

Noor Mian

et al. 2023

Security and Privacy

View full text Add to dashboard Cite

Vehicle‐to‐grid (V2G) network has a clear advantage in terms of economic advantages, it has attracted the interest of electric vehicle (EV) and power grid users. However, numerous security concerns limit its further progress. In existing V2G protocols a trusted third party independently generates the master key of the system, so if the adversary compromises the third party, then the system may become vulnerable to system master key leakage attack. Recently, Su et al. presented a privacy‐preserving mutual authentication protocol for V2G networks. Firstly, we crypt‐analysis Su et al.'s protocol and show that their protocol is vulnerable to several security attacks such as the reveal of the master secret key, impersonation attacks and the incorrect notion of EV's anonymity and traceability and does not meet the security features they claimed in their paper. Secondly, we verify that Su et al.'s protocol is unsafe against impersonation attacks, system key leakage, and electrical vehicle anonymity attack using the AVISPA tool.

show abstract

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

Cited by 19 publications

References 6 publications

IP²DM: integrated privacy-preserving data management architecture for smart grid V2G networks

IP²DM: integrated privacy-preserving data management architecture for smart grid V2G networks

Enabling Privacy in Vehicle-to-Grid Interactions for Battery Recharging

On the security of a novel privacy‐preserving authentication scheme for V2G networks

Contact Info

Product

Resources

About

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

Cited by 19 publications

References 6 publications

IP2DM: integrated privacy-preserving data management architecture for smart grid V2G networks

IP2DM: integrated privacy-preserving data management architecture for smart grid V2G networks

Enabling Privacy in Vehicle-to-Grid Interactions for Battery Recharging

On the security of a novel privacy‐preserving authentication scheme for V2G networks

Contact Info

Product

Resources

About

IP²DM: integrated privacy-preserving data management architecture for smart grid V2G networks

IP²DM: integrated privacy-preserving data management architecture for smart grid V2G networks