5G Vehicle-to-Everything Services: Gearing Up for Security and Privacy

Lu, Rongxing; Zhang, Lan; Ni, Jianbing; Fang, Yuguang

doi:10.1109/jproc.2019.2948302

Cited by 121 publications

(77 citation statements)

References 104 publications

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“…Discussions and comparisons are made on a moderate number of security solutions. Recently, Lu et al [22] summarized trust, security and privacy vulnerabilities in 5G based V2X services. In [22], security strategies that address those vulnerabilities are elaborated and categorized based on the layers these strategies are applied to.…”

mentioning

confidence: 99%

Recent Advances and Challenges in Security and Privacy for V2X Communications

Huang

Fang

Qian

et al. 2020

IEEE Open J. Veh. Technol.

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In recent studies, vehicular networks have been considered as a promising solution to achieve better traffic management and to improve the driving experience of drivers. In vehicular networks, vehicle-to-everything (V2X) services, e.g. onroad traffic information exchange and location-based services, are provided to facilitate road safety for vehicles and traffic management for the relevant authorities. Dedicated Short Range Communications is specifically designed for V2X communications, and recently the cellular network has shown great potential to support V2X with better performance and more applications. Due to the wireless nature of V2X communications, how to secure V2X communications and guarantee the privacy of users are great challenges that have hampered the implementation of vehicular services. Many solutions have been proposed by researchers in last two decades. In this paper, we present a comprehensive survey on the state-of-the-art solutions concerning security and privacy for V2X communications. For security, detailed discussions on cryptography based schemes and trust based schemes are provided. For privacy, we summarize and compare general solutions in preserving identity privacy and location privacy. Cellular based V2X communications have shown many advantages over DSRC, and the oncoming fifth-generation cellular technology is going to provide more possibilities to V2X. Thus, security architectures and solutions for cellular based communications are also illustrated and discussed. Finally, we summarize the remaining challenges and point out future research directions.

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mentioning

confidence: 99%

Recent Advances and Challenges in Security and Privacy for V2X Communications

Huang

Fang

Qian

et al. 2020

IEEE Open J. Veh. Technol.

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“…in case of emergency situation (e.g., accidents) while also enabling the detection and tracking of malicious behaviour within the network. Consequently, the following privacy issues are of concern for the next 5G V2X architecture [8]: (1) identity privacy -deals with the disclosure of identity information that could be linked to a specific user and expose the subscriber's identity. (2) content privacy -deals with the disclosure of sensitive information from different types of content that could result in user privacy breaches.…”

Section: Privacymentioning

confidence: 99%

“…Apart from the traditional attacks, such as eavesdropping, man in the middle attack, or impersonation, some more advanced attacks could be used to capture private information within the VANETs, such as [8]: packet analysis attack -where the sender identity is disclosed by analyzing a packet; packet tracing attacks -where the source and destination of a packet could be traced; linkage attacks -the pseudonyms of a user are linked based on the public information; movement tracking attacks -where the vehicle is traced based on its physical position and moving patterns from captured messages; identity revealing attacks -where the identity, moving path, and physical position of a specific vehicle are predicted from routine traffic messages; collusion attacks -information about a target user could be disclosed by collaborative adversaries; inference attacks -where a target user is identified based on the differences between multiple subjects; and deanonymization/reidentification attacks -the target user is re-identified by analyzing the correlations and differences of a large volume of data.…”

Section: Remaining Challenges and Open Issuesmentioning

confidence: 99%

Security Aspects of Communications in VANETs

Mihai

Dokuz

Ali

et al. 2020

2020 13th International Conference on Communications (COMM)

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“…Substantial technological improvements lead to a pervasive growth of smart things enabling communications among entities from mobile devices to fast speed vehicles envisioned in smart cities [1], [2]. The intercommunication demands for quality of services (QoS) and quality of experience (QoE) to realize the associated benefits such as fast communication, low latency, high reliability, maximized throughout, etc.…”

Section: Introductionmentioning

confidence: 99%

“…Traditionally, wireless technologies provide infrastructure for vehicular communications, which can play a significant role in efficient resource management as well as transportation for the provisioning of QoS and QoE [5]. The Third Generation Partnership Project (3GPP) is among the incorporating standards for reliable communications among Vehicles-to-Pedestrian (V2P), Vehicle-to-Vehicle (V2V), Vehicle-to-Infrastructure (V2I), and futuristic Vehicle-to-Everything (V2X) [2]. The enhancement in V2X services enables multiplexing resources across vehicular networks.…”

Section: Introductionmentioning

confidence: 99%

5G Vehicular Network Resource Management for Improving Radio Access Through Machine Learning

et al. 2020

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The current cellular technology and vehicular networks cannot satisfy the mighty strides of vehicular network demands. Resource management has become a complex and challenging objective to gain expected outcomes in a vehicular environment. The 5G cellular network promises to provide ultra-high-speed, reduced delay, and reliable communications. The development of new technologies such as the network function virtualization (NFV) and software defined networking (SDN) are critical enabling technologies leveraging 5G. The SDN-based 5G network can provide an excellent platform for autonomous vehicles because SDN offers open programmability and flexibility for new services incorporation. This separation of control and data planes enables centralized and efficient management of resources in a very optimized and secure manner by having a global overview of the whole network. The SDN also provides flexibility in communication administration and resource management, which are of critical importance when considering the ad-hoc nature of vehicular network infrastructures, in terms of safety, privacy, and security, in vehicular network environments. In addition, it promises the overall improved performance. In this paper, we propose a flow-based policy framework on the basis of two tiers virtualization for vehicular networks using SDNs. The vehicle to vehicle (V2V) communication is quite possible with wireless virtualization where different radio resources are allocated to V2V communications based on the flow classification, i.e., safety-related flow or non-safety flows, and the controller is responsible for managing the overall vehicular environment and V2X communications. The motivation behind this study is to implement a machine learning-enabled architecture to cater the sophisticated demands of modern vehicular Internet infrastructures. The inclination towards robust communications in 5G-enabled networks has made it somewhat tricky to manage network slicing efficiently. This paper also presents a proof of concept for leveraging machine learning-enabled resource classification and management through experimental evaluation of special-purpose testbed established in custom mininet setup. Furthermore, the results have been evaluated using Long Short-Term Memory (LSTM), Convolutional Neural Network (CNN), and Deep Neural Network (DNN). While concluding the paper, it is shown that the LSTM has outperformed the rest of classification techniques with promising results.

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5G Vehicle-to-Everything Services: Gearing Up for Security and Privacy

Cited by 121 publications

References 104 publications

Recent Advances and Challenges in Security and Privacy for V2X Communications

Recent Advances and Challenges in Security and Privacy for V2X Communications

Security Aspects of Communications in VANETs

5G Vehicular Network Resource Management for Improving Radio Access Through Machine Learning

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