Trust management for secure cognitive radio vehicular ad hoc networks

He, Ying; Yu, F. Richard; Wei, Zhexiong; Leung, Victor C. M.

doi:10.1016/j.adhoc.2018.11.006

Cited by 49 publications

(16 citation statements)

References 35 publications

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“…Such works have attempted to enhance connectivity through heavily mobility-oriented approaches, where the position, speed, and acceleration of vehicles and traffic network topology are substantial elements in their models. Complementarily, we have observed steep advancements in communication technologies; for instance, cognitive radio has become a key enabling technology of dynamic spectrum access to achieve better exploitation of radio spectrum [11,12]. As a result, even though mobility is an important influencing factor to connectivity, urban environments are more comprehensive and contain many more opportunities for devices and vehicles to connect over multiple media, following V2V, V2I, and V2X communication methods.…”

Section: Discussionmentioning

confidence: 99%

MDP-based Vehicular Network Connectivity Model for VCC Management

Saad

Grande

2020

2020 IEEE/ACM 24th International Symposium on Distributed Simulation and Real Time Applications (DS-RT)

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Vehicular Cloud computing is a new paradigm in which vehicles collaboratively exchange data and resources to support services and problem-solving in urban environments. Characteristically, such Clouds undergo severe challenging conditions from the high mobility of vehicles, and by essence, they are rather dynamic and complex.Many works have explored the assembling and management of Vehicular Clouds with designs that heavily focus on mobility. However, a mobility-based strategy relies on vehicles' geographical position, and its feasibility has been questioned in some recent works. Therefore, we present a more relaxed Vehicular Cloud management scheme that relies on connectivity. This work models uncertainty and considers every possible chance a vehicle may be available through accessible communication means, such as vehicle-to-everything (V2X) communications and the vehicle being in the range of road-side units (RSUs) for data transmissions. We propose an markov-decisision process (MDP) model to track vehicles' connection status and estimate their reliability for data transmissions. Also, from analyses, we observed that higher vehicle connectivity presents a trace of repeated connection patterns. We reinforce the connectivity status by validating it through an availability model to distinguish the vehicles which support high availability regardless of their positioning. The availability model thus determines the suitability of the MDP model in a given environment. I like to extend my gigantic thanks to Professor Robson for guidance, teaching, and being available most of the time to answer my stupid questions. Thiago, for helping understand the software we use for this research. My parents for their supports. My friends and colleagues for making this journey bearable. Thank you

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Section: Discussionmentioning

confidence: 99%

MDP-based Vehicular Network Connectivity Model for VCC Management

Saad

Grande

2020

2020 IEEE/ACM 24th International Symposium on Distributed Simulation and Real Time Applications (DS-RT)

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“…is method required large amount of computational time because of checking the authenticity of message content. He et al [103] proposed a unified trust management scheme for dealing with spectrum sensing and data transmission process in cognitive radio VANETs. In this method, the weighted consensus spectrum is applied to protect the sensing process and also improve the security of data transmission process by utilizing the trust value in CR-VANETs.…”

Section: Different Trust Establishment Modelmentioning

confidence: 99%

Security and Privacy in Vehicular Ad Hoc Network and Vehicle Cloud Computing: A Survey

Sheikh

Liang

Wang

2020

Wireless Communications and Mobile Computing

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Vehicular networks are becoming a prominent research field in the intelligent transportation system (ITS) due to the nature and characteristics of providing high-level road safety and optimized traffic management. Vehicles are equipped with the heavy communication equipment which requires a high power supply, on-board computing device, and data storage devices. Many wireless communication technologies are deployed to maintain and enhance the traffic management system. The ITS is capable of providing services to the traffic authorities and precautionary measures to the drivers and passengers. Several methods have been proposed for discussing the security and privacy issues for the vehicular ad hoc networks (VANETs) and vehicular cloud computing (VCC). They receive a great deal of attention from researchers around the world since they are new technologies, and they can improve road safety and enhance traffic flow by utilizing the vehicles resources and communication system. Firstly, the VANETs are presented, including the basic overview, characteristics, threats, and attacks. The location privacy methodologies are elaborated, which can protect the confidential information of the vehicle, such as the location detail and driver information. Secondly, the trust management models in the VANETs are comprehensively discussed, followed by the comparison of the cryptography and trust models in terms of different kinds of attacks. Then, the simulation tools and applications of the VANETs are discussed, and the evolution is presented from the VANETs to VCC in the vehicular network. Thirdly, the VCC is discussed from its architecture and the security and privacy issues. Finally, several research challenges on the VANETs and VCC are presented. In sum, this survey comprehensively covers the location privacy and trust management models of the VANETs and discusses the security and privacy issues in the VCC, which fills the gap of existing surveys. Also, it indicates the research challenges in the VANETs and VCC.

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“…Second, the channel availability is required for computing the propagation time and the queueing time, which is an important part for implementing the low-latency forwarding scheme. In our scheme, we use Z m and Z m + 1 to compute equations ( 18)- (20), equations ( 22)- (24), and equations ( 27)-(29), which can ensure that the output routing solution can achieve the objective.…”

Section: Contributionmentioning

confidence: 99%

“…They measure the road weight and use it to select the relay node. Y He et al 20 adopt a common framework to enhance the security for both spectrum sensing and data transmission processes in CR-VANETs. They utilize the unified trust management scheme to protect the spectrum sensing process and apply the trust value derived from the unified trust model to enhance the security of the data transmission process.…”

Section: Forwarding Schemes In Cr-enabled Vehicular Networkmentioning

confidence: 99%

An urban expressway forwarding scheme for cognitive Internet of vehicles

Wang

Zhang

Sheng

et al. 2020

International Journal of Distributed Sensor Networks

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The Internet of vehicles is an essential component for building smart cities that can improve traffic safety and provide multimedia entertainment services. The cognitive radio–enabled Internet of vehicles was proposed to resolve the conflict between the increasing demand of Internet of vehicles applications and the limited spectrum resources. The multi-hop transmission is one of the most important issues in cognitive radio–enabled Internet of vehicles networks. Nevertheless, most existing forwarding solutions designed for the cognitive radio–enabled Internet of vehicles did not consider the urban expressway scenario, where primary base stations are densely installed with small coverage areas. In this case, it is difficult to ensure that the sender and the receiver of the same cognitive radio link have similar channel availability statistics, which makes cognitive radio links more likely to be interrupted. To address this challenge, we develop a multi-hop forwarding scheme to minimize the end-to-end delay for such networks. We first formulate the delay minimization problem as a non-linear integer optimization problem. Then, we propose an approach to select the relay candidates by jointly considering the high mobility of vehicles and the unique cognitive radio spectrum usage distributions in urban expressway scenarios. Finally, we propose the low-latency forwarding strategies by considering the channel availability and the delay cost of different situations of relay candidates. Simulations show the advantages of our proposed scheme, compared with state-of-art methods.

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Trust management for secure cognitive radio vehicular ad hoc networks

Cited by 49 publications

References 35 publications

MDP-based Vehicular Network Connectivity Model for VCC Management

MDP-based Vehicular Network Connectivity Model for VCC Management

Security and Privacy in Vehicular Ad Hoc Network and Vehicle Cloud Computing: A Survey

An urban expressway forwarding scheme for cognitive Internet of vehicles

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