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Maxim Raya
Researcher at École Polytechnique Fédérale de Lausanne
Publications - 29
Citations - 7798
Maxim Raya is an academic researcher from École Polytechnique Fédérale de Lausanne. The author has contributed to research in topics: Vehicular ad hoc network & Vehicular communication systems. The author has an hindex of 22, co-authored 29 publications receiving 7344 citations. Previous affiliations of Maxim Raya include École Normale Supérieure.
Papers
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Journal ArticleDOI
Securing vehicular ad hoc networks
Maxim Raya,Jean-Pierre Hubaux +1 more
TL;DR: This paper provides a set of security protocols, it is shown that they protect privacy and it is analyzed their robustness and efficiency, and describes some major design decisions still to be made.
Proceedings ArticleDOI
The security of vehicular ad hoc networks
Maxim Raya,Jean-Pierre Hubaux +1 more
TL;DR: A set of security protocols are provided, it is shown that they protect privacy and the robustness of these protocols are analyzed, and a quantitative assessment of the proposed solution is carried out.
Journal ArticleDOI
Securing vehicular communications
TL;DR: The road to a successful introduction of vehicular communications has to pass through the analysis of potential security threats and the design of a robust security architecture able to cope with these threats.
Journal ArticleDOI
Secure vehicular communication systems: design and architecture
Panos Papadimitratos,Levente Buttyán,Tamás Holczer,Elmar Schoch,Julien Freudiger,Maxim Raya,Zhendong Ma,Frank Kargl,Antonio Kung,Jean-Pierre Hubaux +9 more
TL;DR: This work addresses the problem of security and protection of private user information within the SeVeCom project, having developed a security architecture that provides a comprehensive and practical solution that can be quickly adopted and deployed.
Proceedings ArticleDOI
TraCI: an interface for coupling road traffic and network simulators
TL;DR: This article presents TraCI a technique for interlinking road traffic and network simulators that permits us to control the behavior of vehicles during simulation runtime, and consequently to better understand the influence of VANET applications on traffic patterns.