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Ιδρυματικό Αποθετήριο [SANDBOX]
Πολυτεχνείο Κρήτης
Πολυτεχνείο Κρήτης
EN
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EL
| URI: | http://purl.tuc.gr/dl/dias/0F154033-12CE-4192-89A5-8D7B8FE4D98D | ||
| Έτος | 2016 | ||
| Τύπος | Δημοσίευση σε Περιοδικό με Κριτές | ||
| Άδεια Χρήσης |
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| Βιβλιογραφική Αναφορά | K. Fysarakis, G. Hatzivasilis, C. Manifavas and I. Papaefstathiou, "RtVMF: a secure real-time vehicle management framework," IEEE Pervasive Computing, vol. 15, no.1, Jan.-Mar. 2016, pp. 22-30. doi: 10.1109/MPRV.2016.15 https://doi.org/10.1109/MPRV.2016.15 | ||
| Εμφανίζεται στις Συλλογές |
The intelligence being built into various vehicle types will not only improve their safety and comfort, but also enable new modes of transportation and new types of services and create markets accordingly. In all cases, it will be important to be able to monitor, preferably in real-time, various parameters of the smart vehicles' condition. This work introduces the Real-Time Vehicle Management Framework (RtVMF), a holistic framework that enables secure management of modern smart vehicles. By monitoring various operational parameters-which are assessed using security-, privacy-, and dependability-related metrics-RtVMF enables real-time monitoring and interaction with a smart vehicle or smart vehicle fleet. The authors developed a proof-of-concept implementation of RtVMF and deployed it on real vehicles, successfully integrating all of the technological components into an actual working framework and demonstrating its use on a real-world use case. They also assessed the framework's performance overhead, validating the feasibility of their approach. This article is part of a special issue on smart vehicle spaces.
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