The AI Revolution in Networking, Cybersecurity, and Emerging Technologies

Cover....1 Half Title....2 Title Page....4 Copyright Page....5 Contents....8 Preface....16 1 Introducing the Age of AI: Emergence, Growth, and Impact on Technology....22 The End of Human Civilization....23 Significant Milestones in AI Development (This Book Is Already Obsolete)....23 The AI Black Box Problem and Explainable AI....26 Whats the Difference Between Todays Large Language Models and Traditional Machine Learning?....27 Hugging Face Hub: A Game-Changer in Collaborative Machine Learning....33 AIs Expansion Across Different Industries: Networking, Cloud Computing, Security, Collaboration, and IoT....35 AIs Impacts on the Job Market....36 AIs Impacts on Security, Ethics, and Privacy....38 Prompt Injection Attacks....38 Insecure Output Handling....43 Training Data Poisoning.....43 Model Denial of Service....43 Supply Chain Vulnerabilities....44 Sensitive Information Disclosure....45 Insecure Plugin Design....46 Excessive Agency....46 Overreliance....47 Model Theft....47 Model Inversion and Extraction....47 Backdoor Attacks....48 MITRE ATLAS Framework....49 AI and Ethics....49 AI and Privacy....49 Summary....51 References....52 2 Connected Intelligence: AI in Computer Networking....54 The Role of AI in Computer Networking....55 AI for Network Management....58 Automating Network Planning....58 Automating Network Configuration....59 Automating Network Assurance....61 AI for Network Optimization....66 Routing Optimization....66 Radio Resource Management....68 Energy Optimization....69 AI for Network Security....70 Access Control....70 Anti-malware Systems....71 Firewalls....72 Behavioral Analytics....72 Software and Application Security....73 AI for Network Traffic Analysis....73 AI in Network Digital Twins.....75 Summary....76 References....77 3 Securing the Digital Frontier: AIs Role in Cybersecurity....80 AI in Incident Response: Analyzing Potential Indicators to Determine the Type of Attack....80 Predictive Analytics....81 Sentiment Analysis and Potential Threat Intelligence....86 Text-Based Anomaly Detection....88 Enhancing Human Expertise in the Security Operations Center Through AI....89 Integration with Other Models....92 AI in Vulnerability Management and Vulnerability Prioritization....92 AI in Security Governance, Policies, Processes, and Procedures....94 Using AI to Create Secure Network Designs....95 Role of AI in Secure Network Design....95 AI and Security Implications of IoT, OT, Embedded, and Specialized Systems.....96 AI and Physical Security....97 How AI Is Transforming Physical Security....97 Security Co-pilots....97 Enhanced Access Control....98 AI in Security Assessments, Red Teaming, and Penetration Testing....98 AI in Identity and Account Management....101 Intelligent Authentication....102 Automated Account Provisioning and Deprovisioning....104 Dynamic Access Control....105 Using AI for Fraud Detection and Prevention....107 AI and Cryptography....108 AI-Driven Cryptanalysis....108 Dynamic Cryptographic Implementations....109 Integration with Quantum Cryptography....109 AI in Secure Application Development, Deployment, and Automation....111 Dynamic Analysis....111 Intelligent Threat Modeling....112 Secure Configuration Management....112 Intelligent Patch Management While Creating Code....113 Summary....114 References....115 4 AI and Collaboration: Building Bridges, Not Walls....116 Collaboration Tools and the Future of Work....117 Innovations in Multimedia and Collaboration....118 What Is Hybrid Work and Why Do We Need It?.....120 AI for Collaboration....122 Authentication, Verification, or Authorization Through Voice or Speech Recognition....122 Reducing Language Barriers with Real-Time Translation....122 Virtual Assistants....123 Task Management....123 Context and Intent Analysis....124 Workflow Automation....124 Prescriptive Analytics....125 Learning and Development....126 Physical Collaboration Spaces....127 Virtual Collaboration Spaces....127 Team Dynamics....128 Document Management....129 The Contact Center: A Bridge to Customers....130 Virtual Agents....132 Call Routing Optimization....132 24 7 365 Support....132 Multilanguage Support....132 Customer Sentiment....133 Quality Assurance and Agent Coaching.....133 Large Case Volume Handling....133 Predictive Analytics....134 Upgrading and Upselling....134 ARVR: A Closer Look....134 Interactive Learning....135 AI-Assisted Real-Time Rendering....135 Content Generation....135 Personalization of Interaction....136 Virtual AssistantSelling....136 NLP and NLU....136 Sentiments and Emotions....136 Affective Computing....137 Summary....137 References....138 5 AI in the Internet of Things (AIoT)....140 Understanding the IoT Landscape....141 AI for Data Analytics and Decision-Making....143 Data Processing....143 Anomaly Detection....144 Predictive Maintenance....144 Advanced Data Analytics....145 AI for IoT Resource Optimization....146 AI for IoT in Supply Chains....148 AI for IoT Security....151 AI and Threat Detection in IoT....152 AI and Vulnerability Detection in IoT Environments....153 AI and Authentication in IoT....153 AI and Physical Safety and Security....154 AI for IoT in Sustainability....154 Water Management and Preservation....155 Energy Management....155 Sustainable Waste Management and Recycling....155 Wildlife Conservation....156 Circular Economy....156 Summary....158 References....158 6 Revolutionizing Cloud Computing with AI....160 Understanding the Cloud Computing Environment....160 Virtualization....161 Application Mobility....163 Cloud Services....164 Deployment Models....164 Cloud Orchestration....165 AI in Cloud Infrastructure Management....166 Workload and VM Placement....166 Demand Prediction and Load-Balancing....167 Anomaly Detection....167 AI for Cloud Security....168 Vulnerabilities and Attacks....169 How Can AI Help?....170 Challenges for AI....171 AI for Cloud Optimization....172 Cloud Service Optimization....172 Cloud Infrastructure Optimization....173 AI and Machine Learning as a Service....174 AI Infrastructure Services....175 AI Developer Services: AutoML and Low-CodeNo-Code AI....175 AI Software Services....176 Advantages of AIaaS....177 Challenges of AI and Machine Learning in the Cloud....179 What Lies Ahead....179 Summary....180 References....180 7 Impact of AI in Other Emerging Technologies....182 Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence....183 AI in Quantum Computing....184 Quantum Algorithm Development....185 Algorithmic Tuning and Automated Circuit Synthesis....187 Hyperparameter Optimization, Real-Time Adaptation, and Benchmarking for Performance Analysis....187 How AI Can Revolutionize Quantum Hardware Optimization....13 Control Operation and Resource Optimization....13 Data Analysis and Interpretation....189 Quantum Machine Learning: Leveraging AI Research to Uncover Quantum Advantages in ML Tasks.....189 AI in Blockchain Technologies....190 Automating the Execution of Smart Contracts with AI....190 Could We Optimize Blockchain Mining Through AI Algorithms?....191 Additional Use Cases in Healthcare, Supply Chain Management, Financial Services....192 AI in Autonomous Vehicles and Drones....196 AI in Edge Computing....196 Extending the Cloud: Edge and Fog....197 Taking AI to the Edge....198 Lightweight AI and Tiny ML....199 Applications and Use Cases....201 Web 3.0....203 Summary....204 References....205 Index....206 A....206 B....207 C....208 D....209 E....210 F....211 G....211 H....211 I....211 J....212 K....212 L....212 M....213 N....214 O....214 P....215 Q....215 R....216 S....216 T....218 U....218 V....219 W....219 X....219 U....219 Z....219