The AI Revolution in Networking Cybersecurity and Emerging Technologies 1st Edition by Omar Santos, Samer Salam, Hazim Dahir ISBN 978-0138293697 0138293694
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ISBN 10: 0138293694
ISBN 13: 978-0138293697
Author: Omar Santos, Samer Salam, Hazim Dahir
The AI Revolution is Here. Discover its Dynamic Applications in Networking, Cybersecurity, and More.
AI is having a profound impact on nearly every sector of the workforce. Huge professional and financial opportunities await in the key domains of computer networking, cybersecurity, IoT, and cloud computing. The AI Revolution in Networking, Cybersecurity, and Emerging Technologies will give you the edge you need to harness AI for your benefit. Learn how AI can efficiently identify shadow data, fortify security measures, generate predictive analytics in real time, and so much more.
In this comprehensive guide, Cisco professionals Omar Santos, Samer Salam, and Hazim Dahir engage you in both AI application and theory through practical case studies and predictions of future trends, which makes this book not just a valuable guide for today, but an indispensable resource for tomorrow.
You’ll discover how AI is building robust bridges in collaboration tools and turning IoT into a super-intelligent network of devices so you can quickly identify and resolve network security threats while enhancing network performance. This book will show you how AI can help you modernize and fortify your operations and make yourself a key asset to your company.
Are you ready to join The AI Revolution in Networking, Cybersecurity, and Emerging Technologies?
Gain industry-specific knowledge from experienced professionals
Discover new capabilities like self-healing networks and predictive analytics
Learn how AI can save time by detecting and correcting issues in real time
Master techniques for security monitoring and alerting
Understand potential security and privacy pitfalls of using AI, and how to guard against them
Understand how AI works for you and with you
Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
Table of contents:
1 Introducing the Age of Al: Emergence, Growth, and Impact on Technology..
The End of Human Civilization..
Significant Milestones in Al Development (This Book Is Already Obsolete).
The Al Black Box Problem and Explainable Al
What’s the Difference Between Today’s Large Language Models and Traditional Machine Learning?
Hugging Face Hub: A Game-Changer in Collaborative Machine Learning
Al’s Expansion Across Different Industries: Networking, Cloud Computing, Security, Collaboration, and IoT
Al’s Impacts on the Job Market
Al’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.
Al and Ethics
Al and Privacy
Summary
References
2 Connected Intelligence: Al in Computer Networking.
The Role of Al in Computer Networking
Al for Network Management
Automating Network Planning
Automating Network Configuration
Automating Network Assurance
Al for Network Optimization
Routing Optimization
Radio Resource Management
Energy Optimization
Al for Network Security
Access Control.
Anti-malware Systems.
Firewalls.
Behavioral Analytics
Software and Application Security
Al for Network Traffic Analysis
Al in Network Digital Twins
Summary
References
Securing the Digital Frontier: Al’s Role in Cybersecurity..
Al 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 Al.
Integration with Other Models
Al in Vulnerability Management and Vulnerability Prioritization.
Al in Security Governance, Policies, Processes, and Procedures.
Using Al to Create Secure Network Designs.
Role of Al in Secure Network Design.
Al and Security Implications of IoT, OT, Embedded, and Specialized Systems
Al and Physical Security
How Al Is Transforming Physical Security
Security Co-pilots
Enhanced Access Control
Al in Security Assessments, Red Teaming, and Penetration Testing.
Al in Identity and Account Management.
Intelligent Authentication.
Automated Account Provisioning and Deprovisioning.
Dynamic Access Control
Using Al for Fraud Detection and Prevention.
Al and Cryptography
Al-Driven Cryptanalysis.
Dynamic Cryptographic Implementations
Integration with Quantum Cryptography
Al in Secure Application Development, Deployment, and Automation.
Dynamic Analysis.
Intelligent Threat Modeling
Secure Configuration Management
Intelligent Patch Management While Creating Code
Summary
References
4 Al 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?.
Al 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 x 7 x 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.
Al-Assisted Real-Time Rendering.
Content Generation.
Personalization of Interaction.
Virtual Assistant/Selling.
NLP and NLU
Sentiments and Emotions.
Affective Computing
Summary
References
5 Al in the Internet of Things (AloT).
Understanding the loT Landscape
Al for Data Analytics and Decision-Making
Data Processing.
Anomaly Detection
Predictive Maintenance.
Advanced Data Analytics.
Al for IoT Resource Optimization
Al for IoT in Supply Chains
Al for IoT Security
Al and Threat Detection in loT.
Al and Vulnerability Detection in IoT Environments
Al and Authentication in IoT
Al and Physical Safety and Security.
Al 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 Al…
Understanding the Cloud Computing Environment
Virtualization.
Application Mobility
Cloud Services.
Deployment Models
Cloud Orchestration
Al in Cloud Infrastructure Management.
Workload and VM Placement
Demand Prediction and Load-Balancing.
Anomaly Detection
Al for Cloud Security.
Vulnerabilities and Attacks
How Can Al Help?
Challenges for Al
Al for Cloud Optimization
Cloud Service Optimization.
Cloud Infrastructure Optimization.
Al and Machine Learning as a Service
Al Infrastructure Services.
Al Developer Services: AutoML and Low-Code/No-Code Al.
Al Software Services
Advantages of Outdoors
Challenges of Al and Machine Learning in the Cloud
What Lies Ahead.
Summary
References
7 Impact of Al in Other Emerging Technologies..
Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence
Al in Quantum Computing.
Quantum Algorithm Development.
Algorithmic Tuning and Automated Circuit Synthesis.
Hyperparameter Optimization, Real-Time Adaptation, and Benchmarking for Performance Analysis.
How Al Can Revolutionize Quantum Hardware Optimization.
Control Operation and Resource Optimization.
Contain
Data Analysis and Interpretation.
Quantum Machine Learning: Leveraging Al Research to
Uncover Quantum Advantages in ML Tasks
Al in Blockchain Technologies
Automating the Execution of Smart Contracts with Al……
Could We Optimize Blockchain Mining Through Al Algorithm
Additional Use Cases in Healthcare, Supply Chain Management,
Financial Services, and Cybersecurity
Al in Autonomous Vehicles and Drones.
Al in Edge Computing
Extending the Cloud: Edge and Fog
Taking Al to the Edge
Lightweight Al and Tiny ML.
Applications and Use Cases.
Web 3.0.
Summary
References
Index.
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Tags: Omar Santos, Samer Salam, Hazim Dahir, The AI Revolution, Networking Cybersecurity, Emerging Technologies