图书简介
This book comprehensively covers a wide range of topics from the smart transportation domain. It discusses protocols, applications, and security concerns in various vehicular networks using examples and easy-to-understand figures. The book’s first four chapters focus on vehicular network protocols and applications, while the remaining four chapters incorporate security, trust, and privacy issues with examples from real-life cases. The book concludes with a vision of what to expect in the near future and will be an invaluable resource for anybody interested in this nascent technology and its variegated applications.;Dr. Lewis M. Mackenzie is a Senior Lecturer in Computing Science at the University of Glasgow.Dr. Niaz Chowdhury is a Postdoctoral Research Associate in Knowledge Media Institute, the Open University in England.
Chapter 1: Digital Twin Technology: An Evaluation V. Jain, N. Luthra, D. Saini Chapter 2: Digital Twin: Towards Internet of Drones J. Arora, M. Tushir Chapter 3: Digital Twin in Agriculture Sector: Detection of Disease using Deep Learning M. Gupta, M. Kumari, C. Ved Chapter 4: Crop Diseases Detection and Prevention using AI and Machine Learning Techniques Meenu Gupta, Rakesh Kumar, Divya Singh Chapter 5: Architecture of Digital Twin for Network Forensic Analysis Using NMAP and WireShark Kapil Kumar, Manju Khari Chapter 6: Wind catchers as earth building: Digital Twins vs green sustainable architecture Hamed Niroumand, Charles J. Kibert, Somayeh Asadi, Fatemeh Mahdavi, Hadi Arabi Chapter 7: Digital Twin and the Detection and Location of DoS attacks to Secure Cyber-Physical UAS Gita Donkal, Anjali Donkal Chapter 8: Digital twin techniques in Recognition of Human Action using the fusion of Convolutional Neural Network Meenu Gupta, Rakesh Kumar, Sapna Dewari Chapter 9: eVote - A Decentralised Voting Platform Vanita Jain, Akanshu Raj, Abhishek Tanwar, Mridul Khurana Chapter 10: Nessus: A vulnerability scanner tool in network forensic Himanshu Chapter 11: Case Studies Related to Depression Detection Using Deep Learning Techniques Jagannath Jayanti, Madhavendra Singh, Vibhuti Jain
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