Quantum Computing and Other Transformative Technologies

Cover
Half Title
Series Page
Title Page
Copyright Page
Dedication
Table of Contents
Preface
Audience
Acknowledgment
List of Figures
List of Abbreviations
Introduction
Part 1: Quantum Computing
	Chapter 1: What is Quantum Computing?
		1.1: A Comparison of Classical and Quantum Computing
		1.2: Quantum Superposition and Entanglement
		1.3: Difficulties with Quantum Computers
		1.4 The Future of Quantum Computing
		References
	Chapter 2: Quantum Cryptography
		2.1: Problems with using Quantum Cryptography
		References
	Chapter 3: Quantum Internet
		3.1: What is Quantum Internet?
		3.2: Quantum Communications
		References
	Chapter 4: Quantum Teleportation
		4.1: Quantum Teleportation: Paving the Way for a Quantum Internet
		References
	Chapter 5: Quantum Computing and IoT
		5.1: A Comparison of Classical and Quantum Computing
		5.2: Quantum Communications
		5.3: Quantum Computing and IoT
		5.4: The Road Ahead
		References
	Chapter 6: Quantum Computing and Blockchain: Myths and Facts
		6.1: Difficulties with Quantum Computers
		6.2: What Is Quantum Supremacy?
		6.3: What is Quantum Cryptography?
		References
	Chapter 7: Quantum Computing and AI: A Mega-Buzzword
		7.1: What is Quantum Computing?
		7.2: Difficulties with Quantum Computers
		7.3: Applications of Quantum Computing and AI
		7.4: Processing Large Sets of Data
		7.5: Solve Complex Problem Faster
		7.6: Better Business Insights and Models
		7.7: Integration of Multiple Sets of Data
		7.8: The Future
		References
	Chapter 8: Quantum Computing Trends
		8.1: A Comparison of Classical and Quantum Computing
		8.2: Physical vs. Logical Qubits
		8.3: Quantum Superposition and Entanglement
		8.4: Quantum Emulator/Simulator
		8.5: Quantum Annealer
		8.6: Noisy Intermediate-Scale Quantum (NISQ) Computers
		8.7: Universal Quantum Computers/Cryptographically Relevant Quantum Computers (CRQC)
		8.8: Post-Quantum/Quantum-Resistant Codes
		8.9: Difficulties with Quantum Computers
		References
Part 2: Other Computing Technologies
	Chapter 9: What is Deep Learning?
		9.1: Neural Network
		9.2: Deep Learning vs. Machine Learning
		9.3: The Deep Learning Game
		9.4: The Future
		References
	Chapter 10: Affective Computing
		10.1: Emotion in Machines
		10.2: The Future
		References
	Chapter 11: Autonomic Computing
		11.1: Benefits
		11.2: Future of Autonomic Computing
		References
Part 3: Big Data, Dark Data, Thick Data, and Small Data
	Chapter 12: Thick Data vs. Big Data
		12.1: Comparison of Big Data and Thick Data
		References
	Chapter 13: Understanding Dark Data
		13.1: Types of Dark Data
		13.2: Value of Dark Data
		13.3: Future of Dark Data
		References
	Chapter 14: Small Data vs. Big Data: Back to the Basics
		14.1: Why Small Data?
		14.2: The Future of Small Data
		References
	Chapter 15: What is a Data Lake?
		15.1: Data Lake vs. Data Warehouse
		15.2: Five Key Components of a Data Lake Architecture
		15.3: Data Lake Advantages
		15.4: Data Lake Disadvantages
		15.5: The Future
		References
Part 4: Cloud Computing
	Chapter 16: Edge Computing Paradigm
		16.1: Advantages of Edge Computing
		16.2: Benefits of Edge Computing
		16.3: Real-Life Example
		16.4: Future of Edge Computing
		References
	Chapter 17: The Internet of Everything
		17.1: What is the Internet of Everything (IoE)?
		17.2: Pillars of the Internet of Everything (IoE)
		17.3: The Internet of Things (IoT)
		17.4: The Difference Between IoE and IoT
		17.5: The Future
		References
	Chapter 18: Content Delivery Networks – CDNs
		18.1: Dynamics of CDNs
		18.2: Difference Between Serving Content without a CDN and with a CDN
		18.3: Types of Services
		18.4: Advantages of CDNs
		18.5: Disadvantages of CDNs
		18.6: The Future
		References
	Chapter 19: Network Functions Virtualization (NFV) or Software-Defined Networking (SDN)?
		19.1: What is Network Functions Virtualization (NFV)?
		19.2: The Benefits of NFV
		19.3: Types of NFV
		19.4: Which is Better – SDN or NFV?
		19.5: The Future of NFV
		References
	Chapter 20: What is Virtualization?
		20.1: What is Virtualization?
		20.2: Types of Virtualizations
		20.3: How is Virtualization Different from Cloud Computing?
		20.4: The Future of Virtualization
		References
	Chapter 21: Risks of Cloud Computing Explained (Both Sides)
		21.1: The Risks Will Never Diminish
		References
	Chapter 22: Cloud-of-Clouds or (Intercloud)
		22.1: The Future
		References
	Chapter 23: Myths and Facts About Cloud Computing
		23.1: Types of Cloud Computing
		23.2: The Promise of Cloud Computing
		23.3: What is Next for Cloud Computing?
Part 5: Security
	Chapter 24: Zero-Day Vulnerability and Heuristic Analysis
		24.1: What is a Zero-Day Vulnerability?
		24.2: Zero-Day Exploit
		24.3: Zero-Day Threat
		24.4: Defending Against Zero-Day Threats
		24.5: What are Heuristics?
		References
	Chapter 25: The Zero Trust Model
		25.1: “Outside-In” to “Inside-Out” Attacks
		25.2: Zero Trust Recommendations
		References
	Chapter 26: Cloud Computing Security
		26.1: Cloud Security Threats
		26.2: The Future
	Chapter 27: First Line of Defense for Cybersecurity: AI
		27.1: Four Fundamental Security Practices
			27.1.1: Identifying the patterns
			27.1.2: Educating the users
			27.1.3: Patching the holes
			27.1.4: Checking off the controls
		27.2: Challenges Faced by AI in Cybersecurity
			27.2.1: AI-powered attacks
			27.2.2: More sandbox-evading malware
			27.2.3: Ransomware and IoT
			27.2.4: A rise of state-sponsored attacks
			27.2.5: Shortage of skilled staff
			27.2.6: IT infrastructure
		27.3: The Future of Cybersecurity and AI
		References
	Chapter 28: Second Line of Defense for Cybersecurity: Blockchain
		28.1: Implementing Blockchain in Cybersecurity
		28.2: Advantages of using Blockchain in Cybersecurity
			28.2.1: Decentralization
			28.2.2: Tracking and tracing
			28.2.3: Confidentiality
			28.2.4: Fraud security
			28.2.5: Sustainability
			28.2.6: Integrity
			28.2.7: Resilience
			28.2.8: Data quality
			28.2.9: Smart contracts
			28.2.10: Availability
			28.2.11: Increased customer trust
		28.3: Disadvantages of using Blockchain in Cybersecurity
			28.3.1: Irreversibility
			28.3.2: Storage limits
			28.3.3: Risk of cyberattacks
			28.3.4: Adaptability challenges
			28.3.5: High operation costs
			28.3.6: Blockchain literacy
		28.4: Conclusion
		References
	Chapter 29: Network Security Needs Big Data
		29.1: Zero Trust Model (ZTM)
		29.2: Big Data and ZTM
Part 6: Blockchain
	Chapter 30: Blockchain Technology and COVID-19
		30.1: Major Challenges of COVID-19
		30.2: Can Blockchain Help in Preventing Pandemics?
		30.3: Tracking Infectious Disease Outbreaks
		30.4: Donations Tracking
		30.5: Crisis Management
		30.6: Securing Medical Supply Chains
		30.7: WHO and Blockchain Technology
		References
	Chapter 31: How Blockchain is Revolutionizing Crowdfunding
		31.1: Limitations of Current Crowdfunding Platforms
		31.2: How Blockchain Helps Crowdfunding
		References
	Chapter 32: Blockchain Technology and Supply Chain Management
		32.1: Blockchain and SCM
		32.2: Applications of Blockchain in SCM
		References
Part 7: IoT
	Chapter 33: IoT and COVID-19
		33.1: IoT and WFH
		33.2: IoT and Blockchain
		33.3: IoT and E-Commerce
		33.4: IoT and Telemedicine
		References
	Chapter 34: IoT and 5G Convergence
		34.1: Benefits of using 5G in IoT
			34.1.1: Higher transmission speed
			34.1.2: More devices connected
			34.1.3: Lower latency
		34.2: Challenges Faced by 5G and IoT Convergence
			34.2.1: Operating across multiple spectrum bands
			34.2.2: A gradual upgradation from 4G to 5G
			34.2.3: Data interoperability
			34.2.4: Establishing 5G business models
		34.3: Examples of Applications of 5G in IoT
			34.3.1: Automotive
			34.3.2: Industrial
			34.3.3: Healthcare
		References
Part 8: Wearable and Mobile Technology
	Chapter 35: The Smart Platform: Wearable Computing Devices (WCD)
		35.1: Concerns with Wearable Computing Devices
		35.2: Applications of Wearable Computing Devices
		35.3: The Future of Wearable Computing Devices
		References
	Chapter 36: Your Smart Device Will Feel Your Pain and Fear
		References
	Chapter 37: Technology Under Your Skin: Three Challenges of Microchip Implants
		References
Part 9: Future Trends in Technology
	Chapter 38: The Metaverse: A Different Perspective
		38.1: Different Perspective of the Metaverse
		38.2: Pillars of the Metaverse
		38.3: The Future
		References
	Chapter 39: The Metaverse: Myths and Facts
		39.1: Myths about the Metaverse
			39.1.1: Myth #1: No one knows what the metaverse is
			39.1.2: Myth #2: The metaverse is only gaming
			39.1.3: Myth #3: The metaverse is only virtual reality
			39.1.4: Myth #4: The metaverse will replace the real world
			39.1.5: Myth #5: The metaverse is a fad
			39.1.6: Myth #6: The metaverse will be a monopoly
			39.1.7: Myth #7: The speed of technology will set the pace for adoption
			39.1.8: Myth #8: The metaverse is already here
			39.1.9: Myth #9: The metaverse is inevitable
			39.1.10: Myth #10: The metaverse is suitable for everything
		39.2: What is the Future of the Metaverse?
		References
	Chapter 40: Eight Key Tech Trends in a Post-COVID-19 World
		40.1: Artificial Intelligence (AI)
		40.2: Cloud Computing
		40.3: VR/AR
		40.4: 5G Networks
		40.5: Voice User Interface (VUI)
		40.6: Internet of Things (IoT)
		40.7: Cybersecurity
		40.8: Blockchain Technology
		40.9: Tracking Infectious Disease Outbreaks
		40.10: Donations Tracking
		40.11: Crisis Management
		40.12: Securing Medical Supply Chains
		References
References
Index
About the Author