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

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發(fā)表于 2025-3-21 16:05:39 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Learning-based VANET Communication and Security Techniques
編輯Liang Xiao,Weihua Zhuang,Cailian Chen
視頻videohttp://file.papertrans.cn/584/583056/583056.mp4
概述Investigates the fundamental principles for “communication and security issues in VANETs”, including the system fundamentals and algorithm fundamentals. These fundamental principles help to fully and
叢書(shū)名稱(chēng)Wireless Networks
圖書(shū)封面Titlebook: Learning-based VANET Communication and Security Techniques;  Liang Xiao,Weihua Zhuang,Cailian Chen Book 2019 Springer Nature Switzerland AG
描述.This timely book provides broad coverage of vehicular ad-hoc network (VANET) issues, such as?security, and network selection. Machine learning based methods are?applied to solve these issues. This book also includes four rigorously refereed?chapters from prominent international researchers working in this subject?area. The material serves as a useful reference for researchers, graduate?students, and practitioners seeking solutions to VANET communication and?security related issues. This book will also help readers understand how to use?machine learning to address the security and communication challenges in VANETs..?Vehicular ad-hoc networks (VANETs) support vehicle-to-vehicle?communications and vehicle-to-infrastructure communications to improve?the transmission security, help build unmanned-driving, and support?booming applications of onboard units (OBUs). The high mobility of OBUs?and the large-scale dynamic network with fixed roadside units (RSUs) make?the VANET vulnerable to jamming.?.?The anti-jamming communication of VANETs can be significantly improved?by using unmanned aerial vehicles (UAVs) to relay the OBU message. UAVs help relay the OBU message to improve the signal-t
出版日期Book 2019
關(guān)鍵詞Vehicular Ad-hoc Networks; Security; Jamming; Authentication; Machine Learning; Reinforcement Learning; Ga
版次1
doihttps://doi.org/10.1007/978-3-030-01731-6
isbn_softcover978-3-030-13192-0
isbn_ebook978-3-030-01731-6Series ISSN 2366-1186 Series E-ISSN 2366-1445
issn_series 2366-1186
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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Learning-based VANET Communication and Security Techniques978-3-030-01731-6Series ISSN 2366-1186 Series E-ISSN 2366-1445
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Learning-Based Rogue Edge Detection in VANETs with Ambient Radio Signals,ss during a given time slot. The mobile device can choose to compare the received ambient signal properties and its own record or apply the RSSI of the received signals to detect rogue edge attacks, and determines test threshold in the detection. Finally, we use a reinforcement learning technique to
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Book 2019d the large-scale dynamic network with fixed roadside units (RSUs) make?the VANET vulnerable to jamming.?.?The anti-jamming communication of VANETs can be significantly improved?by using unmanned aerial vehicles (UAVs) to relay the OBU message. UAVs help relay the OBU message to improve the signal-t
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