TrafficChain: A Blockchain-Based Secure and Privacy-Preserving Traffic Map

Wang, Qianlong; Ji, Tianxi; Guo, Yifan; Yu, Lixing; Chen, Xuhui; Li, Pan

doi:10.1109/access.2020.2980298

Cited by 29 publications

(17 citation statements)

References 30 publications

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“…The authors also discussed a fragmented ledger that supports both hashed and non-hashed data. The authors in [147] address acquiring traffic information from centralized-based navigation agents such as Apple Maps and Google Maps, which are mostly prone to many vulnerabilities including security and privacy attacks. These attacks can jeopardize the driver's personal information and can track activities in real-time.…”

Section: Privacy and Securitymentioning

confidence: 99%

Connected Vehicles: Technology Review, State of the Art, Challenges and Opportunities

Abdelkader

Elgazzar

Khamis

2021

Sensors

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In an effort to reach accident-free milestones or drastically reduce/eliminate road fatalities rates and traffic congestion and to create disruptive, transformational mobility systems and services, different parties (e.g., automakers, universities, governments, and road traffic regulators) have collaborated to research, develop, and test connected vehicle (CV) technologies. CVs create new data-rich environments and are considered key enablers for many applications and services that will make our roads safer, less congested, and more eco-friendly. A deeper understanding of the CV technologies will pave the way to avoid setbacks and will help in developing more innovative applications and breakthroughs. In the CV paradigm, vehicles become smarter by communicating with nearby vehicles, connected infrastructure, and the surroundings. This connectivity will be substantial to support different features and systems, such as adaptive routing, real-time navigation, and slow and near real-time infrastructure. Further examples include environmental sensing, advanced driver-assistance systems, automated driving systems, mobility on demand, and mobility as a service. This article provides a comprehensive review on CV technologies including fundamental challenges, state-of-the-art enabling technologies, innovative applications, and potential opportunities that can benefit automakers, customers, and businesses. The current standardization efforts of the forefront enabling technologies, such as Wi-Fi 6 and 5G-cellular technologies are also reviewed. Different challenges in terms of cooperative computation, privacy/security, and over-the-air updates are discussed. Safety and non-safety applications are described and possible future opportunities that CV technology brings to our life are also highlighted.

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Section: Privacy and Securitymentioning

confidence: 99%

Connected Vehicles: Technology Review, State of the Art, Challenges and Opportunities

Abdelkader

Elgazzar

Khamis

2021

Sensors

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“…Thus, false data entry by external attackers is prevented. Internal attacks can be mitigated by employment of the Mean Around Krum method as described in [14] and [15].…”

Section: Security Analysismentioning

confidence: 99%

“…Since mobile wallets are used for executing transactions, a Proof of Authority consensus is employed to reduce computationally intensive operations. Wang et al [14] also uses a crowdsourcing mechanism to collect passing time cost of a road segment from users. Unlike the previous solution, it uses a local and global blockchain to reduce network communication overhead with computing nodes owned by individuals or edge routers functioning as miners competing via PoW.…”

Section: Related Workmentioning

confidence: 99%

Deep and Shallow Neural Networks for Blockchain in Edge Computing Environment

Mulani

Dua

Tanwar

et al. 2021

Preprint

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With the rise in traffic congestion and associated costs, it becomes crucial to readily make available accurate traffic reports to the general public and also to predict the traffic levels to mitigate further congestion. Various tools and technologies have emerged to solve the aforementioned problem, which comprises of secure and accurate data collection, storage, utilisation of this data for the purpose of prediction, and making required data available to the public. Motivated from the aforementioned discussion, in this paper, various approaches to solve this larger puzzle have been discussed and analysed, and a holistic solution combining the power of blockchain, InterPlanetary File System (IPFS), and neural networks has been suggested. Simulation results show that an LSTM model with 50 time steps and 200 units in the hidden layer, followed by a dense layer leads to minimum Root Mean Square Error (RMSE) value, with a randomly generated but complete dataset. Security analysis of the proposed solutions shows its efficacy compared to state-of-the-art approaches.

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“…Due to the emergence of Bitcoin [21] in 2009, Ethereum [22] in 2013, and Hyperledger Fabric [23] in 2016, blockchain technologies [21,22], providing a trusted mechanism without a CA and TTP, have received significant attention and interest in academia and the IT industry. e fundamental technology of blockchains, such as Bitcoin and Ethereum, has gained increasingly more attention and has begun to be applied to various fields, such as medical data access [24][25][26], the Internet of ings [27,28], and privacy preservation [29][30][31]. However, the high cost of certificate-based public key authentication is still problematic.…”

Section: Introductionmentioning

confidence: 99%

Blockchain as a CA: A Provably Secure Signcryption Scheme Leveraging Blockchains

Chen

Zhu

Jeng

et al. 2021

Security and Communication Networks

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Although encryption and signatures have been two fundamental technologies for cryptosystems, they still receive considerable attention in academia due to the focus on reducing computational costs and communication overhead. In the past decade, applying certificateless signcryption schemes to solve the higher cost of maintaining the certificate chain issued by a certificate authority (CA) has been studied. With the recent increase in the interest in blockchains, signcryption is being revisited as a new possibility. The concepts of a blockchain as a CA and a transaction as a certificate proposed in this paper aim to use a blockchain without CAs or a trusted third party (TTP). The proposed provably secure signcryption scheme implements a designated recipient beforehand such that a sender can cryptographically facilitate the interoperation on the blockchain information with the designated recipient. Thus, the proposed scheme benefits from the following advantages: (1) it removes the high maintenance cost from involving CAs or a TTP, (2) it seamlessly integrates with blockchains, and (3) it provides confidential transactions. This paper also presents the theoretical security analysis and assesses the performance via the simulation results. Upon evaluating the operational cost in real currency based on Ethereum, the experimental results demonstrate that the proposed scheme only requires a small cost as a fee.

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TrafficChain: A Blockchain-Based Secure and Privacy-Preserving Traffic Map

Cited by 29 publications

References 30 publications

Connected Vehicles: Technology Review, State of the Art, Challenges and Opportunities

Connected Vehicles: Technology Review, State of the Art, Challenges and Opportunities

Deep and Shallow Neural Networks for Blockchain in Edge Computing Environment

Blockchain as a CA: A Provably Secure Signcryption Scheme Leveraging Blockchains

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