Pairing-based authentication protocol for V2G networks in smart grid

Roman, Luis Fernando Arias; Gondim, Paulo Roberto de Lira; Lloret, Jaime

doi:10.1016/j.adhoc.2018.08.015

Cited by 47 publications

(7 citation statements)

References 23 publications

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“…In [26], Wang et al proposed a traceable privacy protection communication scheme in the V2G environment, but the security assumption of this scheme is too high for the aggregator; that is, the aggregator knows the true identity information of the EVs, which means that the aggregator can obtain the EVs' private information. Romana et al presented a group-based authentication protocol in V2G networks [34]. In this scheme, a group member EV is issued a temporal identity by the authentication server.…”

Section: Related Workmentioning

confidence: 99%

“…Considering the [14] has a different system model with ours, the [12] and [23] treat the authenticator as a trusted party, and the [34] focus on group authentication, in this section, we still evaluate our scheme by comparing it with the three similar schemes [5] [26] [17]. We will analyze the computational overhead and communication overhead of the four schemes.…”

Section: Performance Analysismentioning

confidence: 99%

See 1 more Smart Citation

Conditional Privacy-Preserving Anonymous Authentication Scheme With Forward Security in Vehicle-to-Grid Networks

Wang¹,

Ou²,

Ye³

et al. 2020

IEEE Access

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In the Vehicle-to-Grid (V2G) network, the electric vehicles (EVs) need to report their respective information, such as vehicle identity, battery capacity, battery state of charge (SoC), current location, and driving direction, to the power grid through the distributed local aggregators (LAGs), so that the power grid can dispatch power reasonably. However, the information has much to do with privacy of the EVs. The issue of how to solve the contradictory needs of privacy protection and information report is a challenging problem in the V2G network. This paper proposed a privacy preserving authentication mechanism together with a key exchange between the EVs and the LAGs, in which the EVs do not use any pseudonyms. Besides satisfying the requirements of anonymity, confidentiality, unlinkability, nonrepudiation, traceability and revocation, the scheme can further support forward security. The performance analysis shows that the proposed scheme is efficient in terms of computation and communication overhead. The experimental results show that the proposed scheme has fewer exchanged messages in the authentication process among compared schemes.

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Section: Related Workmentioning

confidence: 99%

Section: Performance Analysismentioning

confidence: 99%

Conditional Privacy-Preserving Anonymous Authentication Scheme With Forward Security in Vehicle-to-Grid Networks

Wang¹,

Ou²,

Ye³

et al. 2020

IEEE Access

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show abstract

“…At the same time, it hopes that the electric grid will feed the electric energy back when the load is at its peak. When the electric vehicle and the grid are in an energy interaction, they must establish real-time communication for the transmission of relevant information, such as the status of the electric vehicle and the load of the electric network [10]. Therefore, the main activity in vehicle-to-grid is actually the two-way interaction related to energy and information between EVs and the grid [8].…”

Section: Network Structure Of V2g In Smart Gridmentioning

confidence: 99%

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

Zhang

Wang

2018

Energies

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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.

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“…Each transaction is vulnerable to a series of security threats in this scenario, such as singlepoint failure, denial of service attacks, and privacy leakage. Therefore, some schemes, such as [20][21][22], introduced blockchain technology for energy transactions because blockchains have the properties of decentralization, anonymity and immutability to provide an effective solution for V2G networks. Liu et al [23] proposed a cross-domain identity authentication scheme based on a blockchain, which utilizes the encryption algorithm SM9 to guarantee the security and privacy required by V2G networks.…”

Section: Introductionmentioning

confidence: 99%

Blockchain-Enabled Secure and Privacy-Preserving Data Aggregation for Fog-Based ITS

Chen¹,

Yang²,

Shi³

et al. 2023

Computers, Materials &Amp; Continua

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As an essential component of intelligent transportation systems (ITS), electric vehicles (EVs) can store massive amounts of electric power in their batteries and send power back to a charging station (CS) at peak hours to balance the power supply and generate profits. However, when the system collects the corresponding power data, several severe security and privacy issues are encountered. The identity and private injection data may be maliciously intercepted by network attackers and be tampered with to damage the services of ITS and smart grids. Existing approaches requiring high computational overhead render them unsuitable for the resource-constrained Internet of Things (IoT) environment. To address above problems, this paper proposes a blockchain-enabled secure and privacy-preserving data aggregation scheme for fog-based ITS. First, a fog computing and blockchain co-aware aggregation framework of power injection data is designed, which provides strong support for ITS to achieve secure and efficient power injection. Second, Paillier homomorphic encryption, the batch aggregation signature mechanism and a Bloom filter are effectively integrated with efficient aggregation of power injection data with security and privacy guarantees. In addition, the fine-grained homomorphic aggregation is designed for power injection data generated by all EVs, which provides solid data support for accurate power dispatching and supply management in ITS. Experiments show that the total computational cost is significantly reduced in the proposed scheme while providing security and privacy guarantees. The proposed scheme is more suitable for ITS with latency-sensitive applications and is also adapted to deploying devices with limited resources.

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Pairing-based authentication protocol for V2G networks in smart grid

Cited by 47 publications

References 23 publications

Conditional Privacy-Preserving Anonymous Authentication Scheme With Forward Security in Vehicle-to-Grid Networks

Conditional Privacy-Preserving Anonymous Authentication Scheme With Forward Security in Vehicle-to-Grid Networks

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

Blockchain-Enabled Secure and Privacy-Preserving Data Aggregation for Fog-Based ITS

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