The Battle of Technologies or the Battle of Business Models? [Connected Vehicles]

Uhlemann, Elisabeth

doi:10.1109/mvt.2017.2781539

Cited by 16 publications

(10 citation statements)

References 7 publications

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“…In prior work [1], [4], [27]- [31] researchers study and compare the adhoc V2X communications (e.g., DSRC/C-ITS) with LTE-V2X in terms of radio resource allocation, performance, standardization, use-cases, deployment issues, interoperability, etc. It is worth noting that, unlike the mature DSRC/C-ITS platforms, LTE-V2X technologies are still under development and the necessary trials/testing to support large number of vehicles in real environments for safety applications is not yet available [30], [32]. In this paper, we primarily focus on the security issues for the V2X communications based on DSRC/C-ITS -although we believe that many of those schemes can be transferred to LTE-V2X with limited (or no) modifications.…”

Section: B Network and Communication Modelmentioning

confidence: 99%

Securing Vehicle-to-Everything (V2X) Communication Platforms

Hasan

Mohan

Shimizu

et al. 2020

IEEE Trans. Intell. Veh.

177

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Modern vehicular wireless technology enables vehicles to exchange information at any time, from any place, to any network -forms the vehicle-to-everything (V2X) communication platforms. Despite benefits, V2X applications also face great challenges to security and privacy -a very valid concern since breaches are not uncommon in automotive communication networks and applications. In this survey, we provide an extensive overview of V2X ecosystem. We also review main security/privacy issues, current standardization activities and existing defense mechanisms proposed within the V2X domain. We then identified semantic gaps of existing security solutions and outline possible open issues.We also discuss possible open issues (Section VIII), summarize multiple industry/academic/government initiatives for securing V2X communications (Section IX-A) and compare our work with related surveys (Section IX-B). II. V2X PLATFORM : AN OVERVIEWThis section provides an overview of V2X communication interfaces (Section II-A) and discuss various network/communication models (Section II-B). A. Communication InterfacesThe internal architecture of a vehicle is interconnected with ECUs (electronic control units -embedded computing platform that monitor/control automotive systems) coupled with sensors and actuators. The communication between the vehicle and the outside world such as other vehicles or roadside units (RSUs) is performed via external interfaces (see Fig. 1). These vehicular external interfaces are attached to the telematics control unit (TCU) -also referred to as on-board unit (OBU) 1 -an ECU that provides wireless connectivity [7], [8]. A vehicle control unit coordinates with the OBU to collect and disseminate vehicular data [9]. The current standards for V2X communication are DSRC (dedicated short range communication) [10] in the United States, C-ITS (cooperative intelligent transport systems) [11] in Europe and ITS Connect [12] in Japan. Both DSRC and C-ITS operating in the 5.9 GHz ITS band while ITS Connect operating in 760 MHz band (refer to Section II-B1 for details). An alternative to DSRC/C-ITS is the next generation of cellular wireless mobile telecommunications technology (see Section II-B2). OBUs can also be equipped with interfaces for long-range communication. These long-range wireless channels can be classified as broadcast channels (signals can be broadcast to multiple vehicles without knowledge of the receiver's address) and addressable channels (where messages are sent to vehicles with specific addresses.) [13]. Examples of broadcast channels include the global navigation satellite system (GNSS), traffic message/satellite radio receivers, etc. Addressable channels are typically used for long-range voice/data transmissions and are intended to be used for cellular communications for mobile broadband [8].

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Section: B Network and Communication Modelmentioning

confidence: 99%

Securing Vehicle-to-Everything (V2X) Communication Platforms

Hasan

Mohan

Shimizu

et al. 2020

IEEE Trans. Intell. Veh.

177

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“…In this case, we consider at time instant n, vehicle l can acquire the time-of-arrival (ToA) measurement τ (l ) n from the signal delay and the angle-of-arrival (AoA) measurement θ (l ) n from the directional beam of the ULA. 5 The state variable u (l ) n = [u (l ) x,n , u (l ) y,n ] T denotes the location of vehicle l at time n. Thus, the observation r (l ) n can be written as…”

Section: A Case I: Target Trackingmentioning

confidence: 99%

“…Different from the target tracking problem where the target location is a continuous random variable, using the MMSE estimation for discrete random variables is generally suboptimal. Therefore, we consider the MAP estimator in (5) that the estimate of the message is given bŷ…”

Section: B Case Ii: Network Decodingmentioning

confidence: 99%

“…An IVN is a type of vehicular networks which possibly connects various vehicles, back-end systems, and infrastructure components, such as road side units (RSUs), to provide a variety of benefits including improved traffic management, road-safety, and the support for partially autonomous vehicles and infotainment services [5]. The success of IVNs relies on the exploitation of advanced wireless sensors to acquire the real world information such that vehicles in the IVNs can make prompt changes and decisions accordingly by sharing information ubiquitously over the network.…”

Section: Introductionmentioning

confidence: 99%

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Distributed Estimation Framework for Beyond 5G Intelligent Vehicular Networks

Yuan

Xiang

et al. 2020

IEEE Open J. Veh. Technol.

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“…Cooperative Intelligent Transport Systems are networks designed to provide a variety of benefits [5], [6]. These include improved road-safety, greener driving through improved traffic management, support for partially autonomous vehicles, and infotainment services such as traffic information services.…”

Section: Introductionmentioning

confidence: 99%

Survey on Misbehavior Detection in Cooperative Intelligent Transportation Systems

Heijden

Dietzel

Leinmüller

et al. 2019

IEEE Commun. Surv. Tutorials

206

148

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Cooperative Intelligent Transportation Systems (cITS) are a promising technology to enhance driving safety and efficiency. Vehicles communicate wirelessly with other vehicles and infrastructure, thereby creating a highly dynamic and heterogeneously managed ad-hoc network. It is these network properties that make it a challenging task to protect integrity of the data and guarantee its correctness. A major component is the problem that traditional security mechanisms like PKIbased asymmetric cryptography only exclude outsider attackers that do not possess key material. However, because attackers can be insiders within the network (i.e., possess valid key material), this approach cannot detect all possible attacks. In this survey, we present misbehavior detection mechanisms that can detect such insider attacks based on attacker behavior and information analysis. In contrast to well-known intrusion detection for classical IT systems, these misbehavior detection mechanisms analyze information semantics to detect attacks, which aligns better with highly application-tailored communication protocols foreseen for cITS. In our survey, we provide an extensive introduction to the cITS ecosystem and discuss shortcomings of PKI-based security. We derive and discuss a classification for misbehavior detection mechanisms, provide an in-depth overview of seminal papers on the topic, and highlight open issues and possible future research trends.

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The Battle of Technologies or the Battle of Business Models? [Connected Vehicles]

Cited by 16 publications

References 7 publications

Securing Vehicle-to-Everything (V2X) Communication Platforms

Securing Vehicle-to-Everything (V2X) Communication Platforms

Distributed Estimation Framework for Beyond 5G Intelligent Vehicular Networks

Survey on Misbehavior Detection in Cooperative Intelligent Transportation Systems

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