Risk Assessment of Vehicle Sensor Data as a Vending Object or Service
Bodendorf F, Franke J (2020)
Publication Type: Conference contribution
Publication year: 2020
Journal
Publisher: Springer Science and Business Media Deutschland GmbH
Book Volume: 12405 LNCS
Pages Range: 141-151
Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Event location: Honolulu, HI
ISBN: 9783030596149
DOI: 10.1007/978-3-030-59615-6_11
Abstract
Connected cars generate a huge amount of vehicle data during operation. In the future, the amount of sensor-generated data will continue to increase. The connectivity of the cars, more powerful processors, and improved telematics and navigation systems will allow the amount of data to grow further. Vehicle data provides a basis for a large number of business models. In addition to selling vehicles, automobile manufacturers can generate additional revenue by selling vehicle-generated data as goods or services. First, a typology of vehicle data is described in order to derive value potentials of data products. Motivated by the value perspective, risks in data transfer to third parties are often neglected. In order to assess these risks, a new risk management model for intangible products like data is presented. The main phases of the risk assessment procedure are walked through, outlining possible criteria and metrics in each phase. Finally, the model is demonstrated by evaluating risks of data transfer to third parties in the automotive industry, using the example of vehicle-generated road segment data.
Authors with CRIS profile
Frank Bodendorf
Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik
Jörg Franke
Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik
How to cite
APA:
Bodendorf, F., & Franke, J. (2020). Risk Assessment of Vehicle Sensor Data as a Vending Object or Service. In Wei Song, Kisung Lee, Zhisheng Yan, Liang-Jie Zhang, Huan Chen (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 141-151). Honolulu, HI, US: Springer Science and Business Media Deutschland GmbH.
MLA:
Bodendorf, Frank, and Jörg Franke. "Risk Assessment of Vehicle Sensor Data as a Vending Object or Service." Proceedings of the 5th International Conference on Internet of Things, ICIOT 2020, held as part of the Services Conference Federation, SCF 2020, Honolulu, HI Ed. Wei Song, Kisung Lee, Zhisheng Yan, Liang-Jie Zhang, Huan Chen, Springer Science and Business Media Deutschland GmbH, 2020. 141-151.
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