Vehicle Communication Using Secrecy Capacity

Ahn, Na-Young; Lee, Dong‐Hoon; Oh, Seong-Jun

doi:10.1007/978-3-030-02683-7_13

Cited by 10 publications

(11 citation statements)

References 37 publications

(33 reference statements)

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“…Vehicle-related parameters are very important for vehicle accidents and physical safety as parameters related to the operation of the vehicle while driving. The vehicle-related parameters include speed of the autonomous vehicle, the response time, etc., as mentioned by Ahn et al [11].…”

Section: Vehicle-related Parametersmentioning

confidence: 73%

“…Ahn et al concluded that vehicle speed is closely related to the safety distance to prevent impulsiveness, and this safety distance ultimately affects secrecy capacity, resulting in a close relationship between vehicle speed and secrecy capacity, referring to Figure 2. The result was, surprisingly, that the faster the vehicle speed was, the less secrecy capacity was increased, rather than increasing (Figure 2) [11].…”

Section: Vehicle Speedmentioning

confidence: 97%

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Vehicle Secrecy Parameters for V2V Communications

Ahn¹,

Lee²

2020

Intelligent System and Computing

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This paper studies the parameters affecting secrecy capacity in vehicle communication. The vehicle secrecy parameters largely include vehicle driving-related parameters, antenna-related parameters for transmitting and receiving signals, path-related parameters for indirect communication, and noise-related parameters using a fading channel. Although many researches have been conducted on antenna-related parameters and noise-related parameters considered in general wireless communication, relatively little research has been made on parameters caused by the vehicle itself. These vehicle secrecy parameters also imply that secrecy capacity can be varied by the user. In the future, this study will be a very informative topic when trying to perform vehicle communication while maintaining a certain level of security capacity. In the coming autonomous driving era, this research is very necessary and will help to carry out vehicle communications more safely.

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Section: Vehicle-related Parametersmentioning

confidence: 73%

Section: Vehicle Speedmentioning

confidence: 97%

Vehicle Secrecy Parameters for V2V Communications

Ahn¹,

Lee²

2020

Intelligent System and Computing

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“…In this context, the secrecy performance over cascaded fading channels has been widely studied in [35][36][37][38][39][40]. Recently, the authors in [41] studied the secrecy capacity performance for vehicular communication networks. However, these works [35][36][37][38][39][40][41] were limited to the noncognitive networking setup.…”

Section: Related Workmentioning

confidence: 99%

“…Recently, the authors in [41] studied the secrecy capacity performance for vehicular communication networks. However, these works [35][36][37][38][39][40][41] were limited to the noncognitive networking setup. Moreover, the authors in [42,43] evaluated the performance of multihop cognitive radio networks over double-Rayleigh fading channels but without taking PHY-security aspects into account.…”

Section: Related Workmentioning

confidence: 99%

“…The first integral in (A16) can be simplified by first multiplying and dividing it by e y , and then applying the Guass-Laguarre quadrature method [54], whereas the second integral in (A16) can be evaluated by first using the transformation of variables ρ 1 y ρ = r 2 and then applying Guass-Lobatto's integration method [54]. Consequently, the resultant expression of C II sec,1 can be obtained, as presented in (41). Furthermore, we can express C II sec,2 of (39) as…”

Section: Appendix Amentioning

confidence: 99%

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Secure Cognitive Radio-Enabled Vehicular Communications under Spectrum-Sharing Constraints

Yadav

Pandey

et al. 2021

Sensors

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Vehicular communication has been envisioned to support a myriad of essential fifth-generation and beyond use-cases. However, the increasing proliferation of smart and intelligent vehicles has generated a lot of design and infrastructure challenges. Of particular interest are the problems of spectrum scarcity and communication security. Consequently, we considered a cognitive radio-enabled vehicular network framework for accessing additional radio spectrum and exploit physical layer security for secure communications. In particular, we investigated the secrecy performance of a cognitive radio vehicular network, where all the nodes in the network are moving vehicles and the channels between them are modeled as double-Rayleigh fading. Furthermore, adopting an underlay approach, the communication between secondary nodes can be performed by employing two interference constraint strategies at the primary receiver; (1) Strategy I: the secondary transmitter power is constrained by the interference threshold of the primary receiver, and (2) Strategy II: the secondary transmitter power is constrained by both the interference threshold of the primary receiver and the maximum transmit power of the secondary network. Under the considered strategies, we derive the exact secrecy outage probability (SOP) and ergodic secrecy capacity (ESC) expressions over double-Rayleigh fading. Moreover, by analyzing the asymptotic SOP behavior, we show that a full secrecy diversity of 1 can be achieved, when the average channel gain of the main link goes to infinity with a fixed average wiretap channel gain. From the ESC analysis, it is revealed that the ESC follows a scaling law of ΘlnΩm2Ωe2 for large Ωm and Ωe, where Ωm and Ωe are the average channel gains of the main link and wiretap link. The numerical and simulation results verify our analytical findings.

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Physical-Layer Security and Privacy for Vehicle-to-Everything

ElHalawany

El-Banna

2019

IEEE Commun. Mag.

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Vehicle Communication Using Secrecy Capacity

Cited by 10 publications

References 37 publications

Vehicle Secrecy Parameters for V2V Communications

Vehicle Secrecy Parameters for V2V Communications

Secure Cognitive Radio-Enabled Vehicular Communications under Spectrum-Sharing Constraints

Physical-Layer Security and Privacy for Vehicle-to-Everything

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