The AI Revolution in Networking Cybersecurity and Emerging Technologies Omar Santos 1st Edition by Omar Santos, Samer Salam, Hazim Dahir – Ebook PDF Instant Download/Delivery: 9780138293611 ,0138293619
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Product details:
ISBN 10: 0138293619
ISBN 13: 9780138293611
Author: Omar Santos, Samer Salam, Hazim Dahir
The AI Revolution in Networking Cybersecurity and Emerging Technologies Omar Santos 1st Edition Table of contents:
1 Introducing the Age of AI: Emergence, Growth, and Impact on Technology
The End of Human Civilization
Significant Milestones in AI Development (This Book Is Already Obsolete)
The AI Black Box Problem and Explainable AI
What’s the Difference Between Today’s Large Language Models and Traditional Machine Learning?
Hugging Face Hub: A Game-Changer in Collaborative Machine Learning
AI’s Expansion Across Different Industries: Networking, Cloud Computing, Security, Collaboration,
AI’s Impacts on the Job Market
AI’s Impacts on Security, Ethics, and Privacy
Prompt Injection Attacks
Insecure Output Handling
Training Data Poisoning.
Model Denial of Service
Supply Chain Vulnerabilities
Sensitive Information Disclosure
Insecure Plugin Design
Excessive Agency
Overreliance
Model Theft
Model Inversion and Extraction
Backdoor Attacks
MITRE ATLAS Framework
AI and Ethics
AI and Privacy
Summary
References
2 Connected Intelligence: AI in Computer Networking
The Role of AI in Computer Networking
AI for Network Management
Automating Network Planning
Automating Network Configuration
Automating Network Assurance
AI for Network Optimization
Routing Optimization
Radio Resource Management
Energy Optimization
AI for Network Security
Access Control
Anti-malware Systems
Firewalls
Behavioral Analytics
Software and Application Security
AI for Network Traffic Analysis
AI in Network Digital Twins.
Summary
References
3 Securing the Digital Frontier: AI’s Role in Cybersecurity
AI in Incident Response: Analyzing Potential Indicators to Determine the Type of Attack
Predictive Analytics
Sentiment Analysis and Potential Threat Intelligence
Text-Based Anomaly Detection
Enhancing Human Expertise in the Security Operations Center Through AI
Integration with Other Models
AI in Vulnerability Management and Vulnerability Prioritization
AI in Security Governance, Policies, Processes, and Procedures
Using AI to Create Secure Network Designs
Role of AI in Secure Network Design
AI and Security Implications of IoT, OT, Embedded, and Specialized Systems.
AI and Physical Security
How AI Is Transforming Physical Security
Security Co-pilots
Enhanced Access Control
AI in Security Assessments, Red Teaming, and Penetration Testing
AI in Identity and Account Management
Intelligent Authentication
Automated Account Provisioning and Deprovisioning
Dynamic Access Control
Using AI for Fraud Detection and Prevention
AI and Cryptography
AI-Driven Cryptanalysis
Dynamic Cryptographic Implementations
Integration with Quantum Cryptography
AI in Secure Application Development, Deployment, and Automation
Dynamic Analysis
Intelligent Threat Modeling
Secure Configuration Management
Intelligent Patch Management While Creating Code
Summary
References
4 AI and Collaboration: Building Bridges, Not Walls
Collaboration Tools and the Future of Work
Innovations in Multimedia and Collaboration
What Is Hybrid Work and Why Do We Need It?.
AI for Collaboration
Authentication, Verification, or Authorization Through Voice or Speech Recognition
Reducing Language Barriers with Real-Time Translation
Virtual Assistants
Task Management
Context and Intent Analysis
Workflow Automation
Prescriptive Analytics
Learning and Development
Physical Collaboration Spaces
Virtual Collaboration Spaces
Team Dynamics
Document Management
The Contact Center: A Bridge to Customers
Virtual Agents
Call Routing Optimization
24 × 7 × 365 Support
Multilanguage Support
Customer Sentiment
Quality Assurance and Agent Coaching.
Large Case Volume Handling
Predictive Analytics
Upgrading and Upselling
AR/VR: A Closer Look
Interactive Learning
AI-Assisted Real-Time Rendering
Content Generation
Personalization of Interaction
Virtual Assistant/Selling
NLP and NLU
Sentiments and Emotions
Affective Computing
Summary
References
5 AI in the Internet of Things (AIoT)
Understanding the IoT Landscape
AI for Data Analytics and Decision-Making
Data Processing
Anomaly Detection
Predictive Maintenance
Advanced Data Analytics
AI for IoT Resource Optimization
AI for IoT in Supply Chains
AI for IoT Security
AI and Threat Detection in IoT
AI and Vulnerability Detection in IoT Environments
AI and Authentication in IoT
AI and Physical Safety and Security
AI for IoT in Sustainability
Water Management and Preservation
Energy Management
Sustainable Waste Management and Recycling
Wildlife Conservation
Circular Economy
Summary
References
6 Revolutionizing Cloud Computing with AI
Understanding the Cloud Computing Environment
Virtualization
Application Mobility
Cloud Services
Deployment Models
Cloud Orchestration
AI in Cloud Infrastructure Management
Workload and VM Placement
Demand Prediction and Load-Balancing
Anomaly Detection
AI for Cloud Security
Vulnerabilities and Attacks
How Can AI Help?
Challenges for AI
AI for Cloud Optimization
Cloud Service Optimization
Cloud Infrastructure Optimization
AI and Machine Learning as a Service
AI Infrastructure Services
AI Developer Services: AutoML and Low-Code/No-Code AI
AI Software Services
Advantages of AIaaS
Challenges of AI and Machine Learning in the Cloud
What Lies Ahead
Summary
References
7 Impact of AI in Other Emerging Technologies
Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence
AI in Quantum Computing
Quantum Algorithm Development
Algorithmic Tuning and Automated Circuit Synthesis
Hyperparameter Optimization, Real-Time Adaptation, and Benchmarking for Performance Analysis
How AI Can Revolutionize Quantum Hardware Optimization
Control Operation and Resource Optimization
Data Analysis and Interpretation
Quantum Machine Learning: Leveraging AI Research to Uncover Quantum Advantages in ML Tasks.
AI in Blockchain Technologies
Automating the Execution of Smart Contracts with AI
Could We Optimize Blockchain Mining Through AI Algorithms?
Additional Use Cases in Healthcare, Supply Chain Management, Financial Services
AI in Autonomous Vehicles and Drones
AI in Edge Computing
Extending the Cloud: Edge and Fog
Taking AI to the Edge
Lightweight AI and Tiny ML
Applications and Use Cases
Web 3.0
Summary
References
Index
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