Learning Based Vanet Communication And Security Techniques
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Learning Based Vanet Communication And Security Techniques
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Author : Liang Xiao
language : en
Publisher: Springer
Release Date : 2018-10-29
Learning Based Vanet Communication And Security Techniques written by Liang Xiao and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-29 with Technology & Engineering categories.
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-to-interference-plus-noise-ratio of the OBU signals, and thus reduce the bit-error-rate of the OBU message, especially if the serving RSUs are blocked by jammers and/or interference, which is also demonstrated in this book. This book serves as a useful reference for researchers, graduate students, and practitioners seeking solutions to VANET communication and security related issues.
Deep Learning Based Solutions For Vehicular Adhoc Networks
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Author : Jitendra Bhatia
language : en
Publisher: Springer Nature
Release Date : 2025-07-10
Deep Learning Based Solutions For Vehicular Adhoc Networks written by Jitendra Bhatia and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-10 with Computers categories.
This book provides a holistic and comprehensive approach to deep learning for vehicular ad hoc networks (VANETs), covering various aspects such as applications, agency involvement, and potential ethical and legal issues. It begins with discussions on how the transportation system has been converted into Intelligent Transportation System (ITS). The use of VANETs is increasing in the development of ITS to enhance road safety, traffic efficiency, and driver comfort. However, the dynamic nature of vehicular environments and the high mobility of vehicles pose significant challenges to designing and implementing VANETs and ensuring reliable and efficient communication. Deep learning, a subset of machine learning, has the potential to revolutionize vehicular ad hoc networks (VANETs) to enable various applications such as traffic management, collision avoidance, and infotainment. DL has demonstrated great potential in addressing various challenges involved in VANETs by leveraging its ability to learn from vast data and make accurate predictions. It reviews the state-of-the-art DL-based approaches for various applications in VANETs, including routing, congestion control, autonomous driving, and security. In addition, this book provides a comprehensive analysis of these approaches' advantages and limitations and discusses their future research directions. The study in this book shows that DL-based techniques can significantly improve the performance and reliability of VANETs. Still, in-depth research is required to address the challenges of deploying these methods in real-world scenarios. Finally, the book discusses the potential of DL-based VANETs in supporting other emerging technologies, such as autonomous driving and smart cities. It explores the simulation/emulation tools for practical exposure to the vehicular ad hoc network.
Proceedings Of International Conference On Recent Innovations In Computing
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Author : Yashwant Singh
language : en
Publisher: Springer Nature
Release Date : 2023-05-16
Proceedings Of International Conference On Recent Innovations In Computing written by Yashwant Singh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-16 with Technology & Engineering categories.
This book features selected papers presented at the 5th International Conference on Recent Innovations in Computing (ICRIC 2022), held on August 13–14, 2022, organized by the ELTE, Hungary in association with Knowledge University, Erbil and many academic and industry partners which includes; European Institute of Data Analytics (EiDA), Dublin, Ireland and CSRL Lab, India . The book is second part of the two volumes, and it includes the latest research in the areas of software engineering, cloud computing, computer networks and Internet technologies, artificial intelligence, information security, database and distributed computing, and digital India.
Automotive Cyber Security
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Author : Shiho Kim
language : en
Publisher: Springer Nature
Release Date : 2020-09-24
Automotive Cyber Security written by Shiho Kim and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-24 with Technology & Engineering categories.
This book outlines the development of safety and cybersecurity, threats and activities in automotive vehicles. This book discusses the automotive vehicle applications and technological aspects considering its cybersecurity issues. Each chapter offers a suitable context for understanding the complexities of the connectivity and cybersecurity of intelligent and autonomous vehicles. A top-down strategy was adopted to introduce the vehicles’ intelligent features and functionality. The area of vehicle-to-everything (V2X) communications aims to exploit the power of ubiquitous connectivity for the traffic safety and transport efficiency. The chapters discuss in detail about the different levels of autonomous vehicles, different types of cybersecurity issues, future trends and challenges in autonomous vehicles. Security must be thought as an important aspect during designing and implementation of the autonomous vehicles to prevent from numerous security threats and attacks. The book thus provides important information on the cybersecurity challenges faced by the autonomous vehicles and it seeks to address the mobility requirements of users, comfort, safety and security. This book aims to provide an outline of most aspects of cybersecurity in intelligent and autonomous vehicles. It is very helpful for automotive engineers, graduate students and technological administrators who want to know more about security technology as well as to readers with a security background and experience who want to know more about cybersecurity concerns in modern and future automotive applications and cybersecurity. In particular, this book helps people who need to make better decisions about automotive security and safety approaches. Moreover, it is beneficial to people who are involved in research and development in this exciting area. As seen from the table of contents, automotive security covers a wide variety of topics. In addition to being distributed through various technological fields, automotive cybersecurity is a recent and rapidly moving field, such that the selection of topics in this book is regarded as tentative solutions rather than a final word on what exactly constitutes automotive security. All of the authors have worked for many years in the area of embedded security and for a few years in the field of different aspects of automotive safety and security, both from a research and industry point of view.
Emerging Trends In Ict For Sustainable Development
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Author : Mohamed Ben Ahmed
language : en
Publisher: Springer Nature
Release Date : 2021-01-23
Emerging Trends In Ict For Sustainable Development written by Mohamed Ben Ahmed and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-23 with Computers categories.
This book features original research and recent advances in ICT fields related to sustainable development. Based the International Conference on Networks, Intelligent systems, Computing & Environmental Informatics for Sustainable Development, held in Marrakech in April 2020, it features peer-reviewed chapters authored by prominent researchers from around the globe. As such it is an invaluable resource for courses in computer science, electrical engineering and urban sciences for sustainable development. This book covered topics including • Green Networks • Artificial Intelligence for Sustainability• Environment Informatics• Computing Technologies
Sustainable Iot And Data Analytics Enabled Machine Learning Techniques And Applications
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Author : V. Ajantha Devi
language : en
Publisher: Springer Nature
Release Date : 2024-09-27
Sustainable Iot And Data Analytics Enabled Machine Learning Techniques And Applications written by V. Ajantha Devi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-27 with Science categories.
This book provides a structured presentation of machine learning related to vision, speech, and natural language processing. It addresses the tools, techniques, and challenges of machine learning algorithm implementation, computation time, and the complexity of reasoning and modeling of different types of data. The book covers diverse topics such as semantic image segmentation, deep visual residual abstraction, brain–computer interfaces, natural language processing, traffic and signaling, driverless driving, and radiology. The majority of smart applications have a need for a sustainable Internet of things (IoT) and artificial intelligence. Active research trends and future directions of machine learning under big data analytics are also discussed. Machine learning is a class of artificial neural networks that have become dominant in various computer vision tasks, attracting interest across a variety of domains as they are a type of deep neural networks efficient in extracting meaningful information from visual imagery.
Leveraging Vanets And Blockchain Technology For Urban Mobility
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Author : Ponnusamy, Sivaram
language : en
Publisher: IGI Global
Release Date : 2025-04-24
Leveraging Vanets And Blockchain Technology For Urban Mobility written by Ponnusamy, Sivaram and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-24 with Technology & Engineering categories.
The integration of Vehicular Ad-hoc Networks (VANETs) with blockchain technology emerges as a transformative approach to enhancing urban mobility, offering new solutions to the challenges of traffic management, vehicle safety, and data security in smart cities. VANETs enable real-time communication between vehicles and infrastructure, creating a dynamic network to optimize traffic flow, reduce congestion, and improve safety by enabling autonomous vehicle interaction and instant data exchange. When combined with blockchain technology, this network gains a layer of decentralization and security, ensuring data shared between vehicles, traffic signals, and other urban systems remains tamper-proof and transparent. Blockchain also facilitates secure and efficient transactions, like toll payments or car-sharing services, and maintains a record of vehicle data, including maintenance history or driving patterns, offering new opportunities for vehicle lifecycle management, insurance claims, and regulatory compliance. Together, VANETs and blockchain could revolutionize urban mobility by creating a more efficient, secure, and sustainable transportation ecosystem, driving the development of smarter, safer cities. Leveraging VANETs and Blockchain Technology for Urban Mobility explores the capabilities of VANET and blockchain technology to create a new intelligent urban transportation architecture. It examines how transportation and infrastructure engineers can create secure, efficient, and safe urban mobility. This book covers topics such as smart cities, sustainability, and waste management, and is a useful resource for civil and mechanical engineers, urban developers, business owners, academicians, researchers, and data scientists.
Enabling Blockchain Technology For Secure Networking And Communications
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Author : Ben Mnaouer, Adel
language : en
Publisher: IGI Global
Release Date : 2021-06-11
Enabling Blockchain Technology For Secure Networking And Communications written by Ben Mnaouer, Adel and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-11 with Computers categories.
In recent years, the surge of blockchain technology has been rising due to is proven reliability in ensuring secure and effective transactions, even between untrusted parties. Its application is broad and covers public and private domains varying from traditional communication networks to more modern networks like the internet of things and the internet of energy crossing fog and edge computing, among others. As technology matures and its standard use cases are established, there is a need to gather recent research that can shed light on several aspects and facts on the use of blockchain technology in different fields of interest. Enabling Blockchain Technology for Secure Networking and Communications consolidates the recent research initiatives directed towards exploiting the advantages of blockchain technology for benefiting several areas of applications that vary from security and robustness to scalability and privacy-preserving and more. The chapters explore the current applications of blockchain for networking and communications, the future potentials of blockchain technology, and some not-yet-prospected areas of research and its application. This book is ideal for practitioners, stakeholders, researchers, academicians, and students interested in the concepts of blockchain technology and the potential and pitfalls of its application in different utilization domains.
Artificial Intelligence And Blockchain For Future Cybersecurity Applications
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Author : Yassine Maleh
language : en
Publisher: Springer Nature
Release Date : 2021-04-30
Artificial Intelligence And Blockchain For Future Cybersecurity Applications written by Yassine Maleh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-30 with Computers categories.
This book presents state-of-the-art research on artificial intelligence and blockchain for future cybersecurity applications. The accepted book chapters covered many themes, including artificial intelligence and blockchain challenges, models and applications, cyber threats and intrusions analysis and detection, and many other applications for smart cyber ecosystems. It aspires to provide a relevant reference for students, researchers, engineers, and professionals working in this particular area or those interested in grasping its diverse facets and exploring the latest advances on artificial intelligence and blockchain for future cybersecurity applications.
Smart Computing And Communication
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Author : Meikang Qiu
language : en
Publisher: Springer
Release Date : 2018-12-08
Smart Computing And Communication written by Meikang Qiu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-08 with Computers categories.
This book constitutes the refereed proceedings of the Third International Conference on Smart Computing and Communications, SmartCom 2018, held in Tokyo, Japan, in December 2018. The 45 papers presented in this volume were carefully reviewed and selected from 305 submissions. They focus on topics from smart data to smart communications, as well as smart cloud computing to smart security.