Towards a Privacy-Preserving Way of Vehicle Data Sharing – A Case for Blockchain Technology?

Kaiser, Christian; Steger, Marco; Dorri, Ali; Festl, Andreas; Stocker, Alexander; Fellmann, Michael; Kanhere, Salil S.

doi:10.1007/978-3-319-99762-9_10

Cited by 25 publications

(7 citation statements)

References 3 publications

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“…Secure data privacy models, transparency of data exchange, and control of third-party access are important solutions for exploiting data while at the same time complying with privacy laws [74,75]. Fog computing, homomorphic encryption, and blockchain technology have been suggested as solutions for enabling the use of the collected data while preserving privacy [76][77][78].…”

Section: Discussionmentioning

confidence: 99%

Will vehicle data be shared to address the how, where, and who of traffic accidents?

et al. 2019

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Vehicles are increasingly equipped with sensors that measure the state of the vehicle and surrounding road users. Although most of these sensor data currently remain local to the vehicle, the data could be shared with the aim to improve road safety. We postulate that there is a range of scenarios regarding data sharing, with two extremes: In scenario 1, the acquired shared data will be analysed regarding the how, where, and who of road traffic errors, violations, and accidents; actions can then be taken to improve automated driving systems, manage accident hotspots, and provide personalised feedback, rewards, or penalties to road users. In scenario 2, the recorded data will not be shared, because of privacy concerns. We conclude that there exists a tension between a position of utilitarian use of data and a position of privacy.

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Section: Discussionmentioning

confidence: 99%

Will vehicle data be shared to address the how, where, and who of traffic accidents?

et al. 2019

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“…As an outlook, it should be mentioned that digital vehicle services and the required technological infrastructure to facilitate data acquisition, preprocessing, analysis and storage, are currently a hot topic in the automotive domain. There are already initial ideas using blockchain technology and brokers to make data sharing transparent and secure, as described in Kaiser et. al (2018a).…”

Section: Discussionmentioning

confidence: 99%

The Vehicle Data Value Chain as a Lightweight Model to Describe Digital Vehicle Services

Kaiser

Festl

Pucher³

et al. 2019

Proceedings of the 15th International Conference on Web Information Systems and Technologies

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Digitalization has become an important driver of innovation in the automotive industry. For instance, the Quantified Self-movement has recently started spreading to the automotive domain, resulting in the provision of novel digital vehicle services for various stakeholders such as individual drivers and insurance companies. In this direction, a growing number of ICT start-ups from outside Europe have entered the market. Their digital vehicle services are grounded on the availability of vehicle Big Data. Hence, to better understand and capture this ongoing digital transformation, we introduce the Vehicle Data Value Chain (VDVC) as a lightweight model to describe and examine digital vehicle services. Furthermore, we classify current digital vehicle services offered by four start-ups and five car manufacturers by applying the VDVC, thereby identifying commonalities and differences within three crucial steps: data generation, acquisition, and usage. Additionally, we apply the VDVC to describe a digital mobility service provided by a European industry consortium. This exemplary application serves to evaluate the VDVC and show its general applicability in a practical context. We end our paper with a brief conclusion and an outlook on various current activities of standardization organizations, the European Commission and car manufacturers related to the future of vehicle services.

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“…In addition, the Internet of Things employs sensors to connect vehicles to the Internet. Thus it helps to detect the drivers' diversion, tiredness, vehicle safety, and security problems solved through cloud technology but not wholly [124]. Moreover, the automotive industry is moving towards digitalization.…”

Section: Smart Data Handling Methodologies For Avs Using Blockchainmentioning

confidence: 99%

Blockchain and Autonomous Vehicles: Recent Advances and Future Directions

et al. 2021

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Blockchain is an underlying technology for securing many real-time applications and their data. The automobile is one such sector in which auto-manufacturers are looking forward to accepting the advantages of distributed ledger technology in autonomous vehicles or systems and improving their products, customer satisfaction, and other valuable experiences. This work aims to find the significance of blockchain technology in Autonomous Vehicles, including Autonomous Electric Vehicles (AEV), Autonomous Underwater Vehicles (AUV), Autonomous Guided Vehicles (AGV), Autonomous Aerial Vehicles (AAeV), and Autonomous Driving. In this work, a comparative analysis of blockchain-integrated autonomous vehicle systems is explored to identify the present scenario and futuristic challenges. In addition to blockchain technology, the uses and importance of sensors, architectures and infrastructure requirements, vehicle types, driving modes, vehicles target and tracking approaches, intelligent contracts, intelligent data handling, and industry-specific use cases are also explored. This study is based on the exploration of recent technologies and practices. As autonomous vehicles are expected to be the future of intelligent transportation, this paper surveys recent advances in autonomous vehicles and systems and how blockchain can help in improving user experiences and improving industry practices. Finally, limitations of work, future research directions, and challenges associated with different autonomous vehicles and systems are presented.

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Towards a Privacy-Preserving Way of Vehicle Data Sharing – A Case for Blockchain Technology?

Cited by 25 publications

References 3 publications

Will vehicle data be shared to address the how, where, and who of traffic accidents?

Will vehicle data be shared to address the how, where, and who of traffic accidents?

The Vehicle Data Value Chain as a Lightweight Model to Describe Digital Vehicle Services

Blockchain and Autonomous Vehicles: Recent Advances and Future Directions

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