Intrusion Detection Paradigm for Cloud-IoT Environments -

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Résumé :

Future-proof your digital infrastructure with this essential book, which provides a comprehensive exploration of both traditional and advanced machine and deep learning models to implement resilient and intelligent intrusion detection systems for securing complex cloud-IoT environments.

The rapid growth of cloud computing and the Internet of Things has transformed industry by enabling real-time data collection, processing, and automation. However, this increasing interconnectivity also introduces significant security challenges, including data breaches, unauthorized access, and cyber threats. Ensuring the security and privacy of cloud-IoT environments requires advanced intrusion detection mechanisms, privacy-preserving strategies, and efficient resource management. This book explores various advanced methods to achieve these goals, including machine and deep learning models, to protect cloud-IoT systems against cyber threats. This book covers both traditional and advanced techniques to implement intrusion detection systems and provides detailed comparative analysis. By offering practical insights, readers will gain a deeper understanding of how to effectively implement intelligent security solutions, ensuring resilience, privacy, and protection against evolving cyber threats in cloud-IoT environments.

Readers will find the volume:

• Provides comprehensive coverage of topics like machine and deep learning for intelligent security...

  Biographie:
  

• Discusses various security mechanisms to safeguard the cloud-IoT environment and implement various techniques to detect intrusions early on.

Audience

Research scholars and industry professionals in information technology, artificial intelligence and cybersecurity looking to innovate cybersecurity for cloud computing and IoT....

Sommaire:

Preface xvii

Part I: Intelligent Cloud-IoT Security 1

1 Intrusion Detection in Cloud-IoT Systems: Challenges and Opportunities 3
Anindita Raychaudhuri and Inadyuti Dutt

1.1 Introduction 4

1.2 Overview of Cloud IoT Systems 5

1.3 Challenges in Cloud IoT Systems 5

1.4 Security Issues in Cloud Systems 6

1.5 Evolution of Intrusion Detection Systems 9

1.5.1 Evolution of IDTs in IoT-Cloud Systems 9

1.5.2 Comparative Analysis of Intrusion Detection Systems 11

1.6 Techniques and Algorithms for Intrusion Detection 12

1.7 Applications Areas of Intrusion Detection in Cloud-IoT Systems 14

1.8 Future Directions and Research Opportunities 22

1.9 Conclusion 23

References 24

2 Applications of Artificial Intelligence for Early Detection of Cyber Threats in Cloud Networks for IoT Devices: A Sentinel Analysis 31
Kaushiki Chatterjee and Soumen Santra

2.1 Introduction 32

2.2 Implementing Protective Measures and Following Best Practices to Mitigate Threats from IoCST 35

2.3 Utilizing Diffie-Hellman for Enhancing IoT Security 41

2.4 Utilizing Machine Learning to Enhance Security in the Realm of IoT 42

2.5 Future 43

2.6 Conclusion 44

References 45

3 Securing the Interconnected: AI-Driven Strategies for Dynamic Cloud-IoT Ecosystem 49
Ayan Banerjee and Anirban Kundu

3.1 Introduction 50

3.1.1 Overview 50

3.1.2 Aim 51

3.1.3 Scope 51

3.1.4 Motivation 51

3.1.5 Organization 52

3.2 Literature Review 52

3.2.1 Past Researches 52

3.2.2 Challenges 53

3.3 CA Based MCMS Framework for System Allocation Using Memory Capacity Analysis 53

3.4 Cloud-Based Communication between Administrator Module and Controller Module for Maintaining IoT Ecosystem Capacity 58

3.5 Functional Communication between User Module and Controller Module for Query Analysis 60

3.6 Controller Design for Measuring System Capacity Using CA 63

3.6.1 CA Based Controller Design for IoT Ecosystem's Performance Sustainability 64

3.6.2 CA Based Controller Design for User Query Analysis 68

3.7 Analytical Discussion 73

3.7.1 Connection Demand Analysis Based on Connections between Web Server and Database Server 73

3.7.2 Server Load Analysis Based on Connections between Web Server and Database Server 74

3.7.3 HDD Capacity Analysis 74

3.7.4 RAM Capacity Analysis 74

3.7.5 Memory Capacity Analysis 75

3.7.6 System Reliability Analysis 75

3.8 Theoretical Discussion 75

3.8.1 Theoretical Perspective on Server Load Evaluation 75

3.8.2 Theoretical Examination of HDD Capacity Analysis 80

3.8.3 Theoretical Examination of RAM Capacity Analysis 81

3.8.4 Theoretical Foundation on Memory Capacity Analysis 82

3.8.5 Theoretical Discussion on System Reliability 83

3.9 Experimental Discussion 84

3.9.1 Overview 84

3.9.2 Experimental Setup 84

3.9.3 Time Complexity Analysis 85

3.9.4 System Load Analysis 86

3.9.5 System Proficiency Analysis Using Different Factors 88

3.10 Comparison 90

3.11 Conclusion 94

Acknowledgment 95

References 95

4 Navigating the Fog AI-Driven Resilience and Privacy Preservation in Cloud IoT Environments 99
Bhupendra Panchal, Sarah Joby David, Ritika Singh, Manini Chhabra, Ajay Sharma and Tarannum Khan

4.1 Introduction 100

4.2 Literature Review 103

4.2.1 Cloud and IoT: Challenges and Opportunities 103

4.2.2 AI-Driven Resilience in Fog and Cloud IoT Environments 103

4....