| Title |
MobileTrust: Secure Knowledge Integration in VANETs |
| ID_Doc |
22008 |
| Authors |
Hatzivasilis, G; Soultatos, O; Ioannidis, S; Spanoudakis, G; Katos, V; Demetriou, G |
| Title |
MobileTrust: Secure Knowledge Integration in VANETs |
| Year |
2020 |
| Published |
Acm Transactions On Cyber-Physical Systems, 4.0, 3 |
| DOI |
10.1145/3364181 |
| Abstract |
Vehicular Ad hoc NETworks (VANET) are becoming popular due to the emergence of the Internet of Things and ambient intelligence applications. In such networks, secure resource sharing functionality is accomplished by incorporating trust schemes. Current solutions adopt peer-to-peer technologies that can cover the large operational area. However, these systems fail to capture some inherent properties of VANETs, such as fast and ephemeral interaction, making robust trust evaluation of crowdsourcing challenging. In this article, we proposeMobileTrust-a hybrid trust-based system for secure resource sharing in VANETs. The proposal is a breakthrough in centralized trust computing that utilizes cloud and upcoming 5G technologies to provide robust trust establishment with global scalability. The ad hoc communication is energy-efficient and protects the system against threats that are not countered by the current settings. To evaluate its performance and effectiveness, MobileTrust is modelled in the SUMO simulator and tested on the traffic features of the small-size German city of Eichstatt. Similar schemes are implemented in the same platform to provide a fair comparison. Moreover, MobileTrust is deployed on a typical embedded system platform and applied on a real smart car installation for monitoring traffic and road-state parameters of an urban application. The proposed system is developed under the EU-founded THREAT-ARREST project, to provide security, privacy, and trust in an intelligent and energy-aware transportation scenario, bringing closer the vision of sustainable circular economy. |
| Author Keywords |
VANET; IoT; CPS; trust; reputation; privacy; mobility; cloud; MEC; parallel computing; GPU; circular economy |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Emerging Sources Citation Index (ESCI) |
| EID |
WOS:000582619800010 |
| WoS Category |
Computer Science, Interdisciplinary Applications |
| Research Area |
Computer Science |
| PDF |
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