Titlebook: Learning-based VANET Communication and Security Techniques; Liang Xiao,Weihua Zhuang,Cailian Chen Book 2019 Springer Nature Switzerland AG

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Introduction, the high mobility of onboard units (OBUs) and the large-scale network topology, VANETs are vulnerable to attacks. In this chapter, we first review the fundamentals of VANETs in Section 1.1. Next, the type of attacks in VANETs is presented in Section 1.2, including the scope of the attack, and the i

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Learning-Based Rogue Edge Detection in VANETs with Ambient Radio Signals,nd the large-scale network infrastructure with roadside units. In this chapter, we propose a physical-layer rogue edge detection scheme for VANETs according to the shared ambient radio signals observed during the same moving trace of the mobile device and the serving edge in the same vehicle. We als

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Lumbar-Stenosis

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Conclusion and Future Work,. The problem of network selection in VANETs is considered, taking into account the rapid changes in signal strength brought about by high-speed movement of the vehicle. In addition, we propose a hotbooting PHC-based UAV relay strategy to resist smart jamming without the knowledge of the UAV channel

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