EVChain: A Blockchain-based Credit Sharing in Electric Vehicles Charging

Firoozjaei, Mahdi Daghmehchi; Ghorbani, Ali A.; Kim, Hyoungshick; Song, JaeSeung

doi:10.1109/pst47121.2019.8949026

Cited by 16 publications

(13 citation statements)

References 12 publications

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“…Many researchers prefer K-anonymity to protect user privacy, which protects the relationship between usersensitive data and individual identity [12] . This method guarantees that in a set of k similar elements, the target is indiscernible from other k 1 elements [13] .…”

Section: Cryptography Privacy Approaches In Ev Chargingmentioning

confidence: 99%

EVchain: An Anonymous Blockchain-Based System for Charging-Connected Electric Vehicles

Chen

2021

Tsinghua Sci. Technol.

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Purchases of electric vehicles have been increasing in recent years. These vehicles differ from traditional fossil-fuel-based vehicles especially in the time consumed to keep them running. Electric-Vehicle-charging Service Providers (EVSPs) must arrange reasonable charging times for users in advance. Most EVSP services are based on third-party platforms, but reliance on third-party platforms creates a lack of security, leaving users vulnerable to attacks and user-privacy leakages. In this paper, we propose an anonymous blockchain-based system for charging-connected electric vehicles that eliminates third-party platforms through blockchain technology and the establishment of a multi-party security system between electric vehicles and EVSPs. In our proposed system, digital certificates are obtained by completing distributed Public Key Infrastructure (distributed-PKI) identity registration, with the user registration kept separate from the verification process, which eliminates dependence on the EVSP for information security. In the verification process, we adopt smart contracts to solve problems associated with centralized verification and opaque services. Furthermore, we utilize zero-knowledge proof and ring-signature superposition to realize completely anonymous verification, which ensures undeniability and unforgeability with no detriment to anonymity. The evaluation results show that the user anonymity, information authenticity, and system security of our system fulfill the necessary requirements.

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Section: Cryptography Privacy Approaches In Ev Chargingmentioning

confidence: 99%

EVchain: An Anonymous Blockchain-Based System for Charging-Connected Electric Vehicles

Chen

2021

Tsinghua Sci. Technol.

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“…89 Despite the benefits of the off-chain mechanism to preserve privacy and decrease transaction fees (eg, in Bitcoin), it has its limitations, namely limited channel capacity, data privacy in payment transaction routing, and the cost of opening and closing channels. 29,90…”

Section: Off/on-chain Mechanismmentioning

confidence: 99%

“…IoT end‐devices send their data to the gateway in an always‐listening network based on LoRa¶ protocol. In the blockchain‐based credit‐sharing framework introduced by Firoozjaei et al 29 for electric vehicles (EVs), an EV joins the blockchain and plays a bridge role between other EVs and blockchain members. In the blockchain‐based model introduced in Reference 30 the agents, running on IoT gateways, collaborate to detect DDoS attacks from IoT botnets.…”

Section: Blockchain‐based Iot Applicationsmentioning

confidence: 99%

“…Although users in the off‐chain system normally remain (pseudo) anonymous, it is possible to store service profiles on the blockchain and verify their identity 89 . Despite the benefits of the off‐chain mechanism to preserve privacy and decrease transaction fees (eg, in Bitcoin), it has its limitations, namely limited channel capacity, data privacy in payment transaction routing, and the cost of opening and closing channels 29,90 …”

Section: Classification Of Privacy‐preserving Solutionsmentioning

confidence: 99%

“…The bridges manage the transactions in two different blockchains to avoid user profiling and user identification. Based on Hy‐Bridge, EVChain 29 was introduced to privately share charging credits in the EV charging market. EVChain is a hybrid blockchain framework consisting of a main blockchain for billing and payment and one or more subnetwork blockchains for credit‐sharing.…”

Section: Classification Of Privacy‐preserving Solutionsmentioning

confidence: 99%

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An evaluation framework for privacy‐preserving solutions applicable for blockchain‐based internet‐of‐things platforms

Firoozjaei

Ghorbani

2020

Security and Privacy

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Blockchain-based applications provide many promising opportunities to overcome the challenges associated with the Internet of Things (IoT) ecosystems (eg, centralized architecture, data integrity, and reliability). In particular, blockchain technology offers many desirable features for IoT infrastructures, such as decentralization, trustworthiness, trackability, and immutability. However, while logging all transactions in a distributed blockchain ledger provides transparency, it also makes it possible to compromise user's privacy, thus posing a grand challenge to IoT architects and implementers. Over the past years, a set of solutions have been proposed for various scenarios, to address these privacy issues. In this paper, we survey these solutions, classify, and analyze their advantages and disadvantages. We also introduce an evaluation framework to evaluate the quality of the privacy-preserving based on an adjustable weighting scheme. Finally, we rate the analyzed solutions based on their privacy ranks, and hope our evaluation can shed light on the future design of privacy-preserving solutions applicable for blockchain-based IoT platforms. K E Y W O R D S blockchain-based application, internet-of-things, privacy rank, privacy-preserving 1 INTRODUCTION Blockchain-based applications have been widely employed to address issues such as intensive centralizing, scalability, security, and reliability with Internet of Things (IoT) systems. IoT systems are characterized by multi-party ecosystems, with data exchange among different devices and parties. 1 The tamper-proof, immutability, and transparency features of blockchain make members able to trace all transactions (past and present), which provides a reliable way to identify data leakages or manipulation. 2-4 The integrity of huge amounts of IoT sensory data can be assured in a blockchain-based distributed cloud from sensor to service with no need to rely on trusted third parties. 5 Data provenance tracking can be provided by programmable smart contracts, which act as the policy evaluation entities and event loggers, and allows users to check all data transfers (eg, acquired automatically from IoT devices) and usage transactions providing assurance that only transactions conforming to the contract policies are authorized and registered in the blockchain. 6 IoT system restrictions, namely resource-constrained devices, low computational power, and limited capacity and bandwidth limit blockchain-IoT applications. For this reason, different projects, such as Maru,* Riddle&Code, † IOTA, ‡ and IBM's device democracy, aim to fit blockchain to IoT platforms, to achieve interoperability, trust machine-to-machine (M2M) interaction, data integrity, and device-based permission. Maru sensor platform, developed by chain of things

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Challenges and Applications of Blockchain Technology in Electric Road Vehicles

Mehdi¹

2022

Transportation Electrification

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EVChain: A Blockchain-based Credit Sharing in Electric Vehicles Charging

Cited by 16 publications

References 12 publications

EVchain: An Anonymous Blockchain-Based System for Charging-Connected Electric Vehicles

EVchain: An Anonymous Blockchain-Based System for Charging-Connected Electric Vehicles

An evaluation framework for privacy‐preserving solutions applicable for blockchain‐based internet‐of‐things platforms

Challenges and Applications of Blockchain Technology in Electric Road Vehicles

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