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Full Description
This book 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 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. Niaz Chowdhury is a postdoctoral research associate at the Knowledge Media Institute, the Open University in England.
Dr. Lewis M. Mackenzie is a senior lecturer in computing science at the University of Glasgow.
Contents
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
