Niaz Chowdhury, Lewis Mackenzie
Vehicular Communications for Smart Cars (eBook, PDF)
Protocols, Applications and Security Concerns
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Niaz Chowdhury, Lewis Mackenzie
Vehicular Communications for Smart Cars (eBook, PDF)
Protocols, Applications and Security Concerns
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This book covers the security, trust and privacy issues, the threats in various forms of vehicular networks, and the countermeasures available, using examples and easy-to-understand figures.
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This book covers the security, trust and privacy issues, the threats in various forms of vehicular networks, and the countermeasures available, using examples and easy-to-understand figures.
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Produktdetails
- Produktdetails
- Verlag: Taylor & Francis
- Seitenzahl: 216
- Erscheinungstermin: 30. Dezember 2021
- Englisch
- ISBN-13: 9781351617451
- Artikelnr.: 63217430
- Verlag: Taylor & Francis
- Seitenzahl: 216
- Erscheinungstermin: 30. Dezember 2021
- Englisch
- ISBN-13: 9781351617451
- Artikelnr.: 63217430
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
Dr. Lewis M. Mackenzie is a Senior Lecturer in Computing Science at the University of Glasgow. His primary research interests are in machine architectures, the performance modelling of communication systems, vehicular networks and usable security. Dr Mackenzie's recently published work has involved the modelling of traffic patterns in a variety of scenarios from regular wormhole-switched multi-computer interconnects to mobile ad-hoc wireless networks (MANETs), the secure use of vehicular ad hoc networks in safety applications, graphical authentication mechanisms and wearable technology. He is also co-author of a recent book on the limits of computation.
Dr. Niaz Chowdhury is a Postdoctoral Research Associate in Knowledge Media Institute, the Open University in England where his primary research interests are Wireless Networks, Internet of Things (IoT), Smart City, Machine Learning and Big Data Analysis. Prior to this, he took another postdoc position in the Department of Computing and Communication of the same university where he worked within the smart city project MK-Smart. Dr. Chowdhury obtained his PhD from the School of Computing Science, University of Glasgow as a recipient of the highly competitive Scottish ORS Scholarship. He was also a research scholar at the School of Computer Science in Trinity College Dublin where he received prestigious Govt. of Ireland IRCSET Embark Initiative Scholarship. Dr. Chowdhury is also a qualified engineer graduating in Computer Science and Engineering with a bachelor and a masters degree with Gold Medal distinction from East West University, Bangladesh. His recent publications include security issues in Vehicular Ad hoc Networks, and design and performance analysis of wireless protocols of various kinds in journals, conference proceedings and book chapter.
Dr. Niaz Chowdhury is a Postdoctoral Research Associate in Knowledge Media Institute, the Open University in England where his primary research interests are Wireless Networks, Internet of Things (IoT), Smart City, Machine Learning and Big Data Analysis. Prior to this, he took another postdoc position in the Department of Computing and Communication of the same university where he worked within the smart city project MK-Smart. Dr. Chowdhury obtained his PhD from the School of Computing Science, University of Glasgow as a recipient of the highly competitive Scottish ORS Scholarship. He was also a research scholar at the School of Computer Science in Trinity College Dublin where he received prestigious Govt. of Ireland IRCSET Embark Initiative Scholarship. Dr. Chowdhury is also a qualified engineer graduating in Computer Science and Engineering with a bachelor and a masters degree with Gold Medal distinction from East West University, Bangladesh. His recent publications include security issues in Vehicular Ad hoc Networks, and design and performance analysis of wireless protocols of various kinds in journals, conference proceedings and book chapter.
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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
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
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Chapter 6: Wind catchers as earth building: Digital Twins vs green
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Secure Cyber-Physical UAS
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Chapter 8: Digital twin techniques in Recognition of Human Action using the
fusion of Convolutional Neural Network
Meenu Gupta, Rakesh Kumar, Sapna Dewari
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Chapter 11: Case Studies Related to Depression Detection Using Deep
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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
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NMAP and WireShark
Kapil Kumar, Manju Khari
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sustainable architecture
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Arabi
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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
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Chapter 9: eVote - A Decentralised Voting Platform
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Chapter 10: Nessus: A vulnerability scanner tool in network forensic
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Chapter 11: Case Studies Related to Depression Detection Using Deep
Learning Techniques
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