Internet of Things Vulnerabilities and Recovery Strategies

The Internet of Things (IoT) is a widely distributed and networked system of interrelated and interacting computing devices and objects. Because of IoT’s broad scope, it presents unique security problems, ranging from unsecure devices to users vulnerable to hackers. Presenting cutting- edge research to meet these challenges, Internet of Things Vulnerabilities and Recovery Strategies presents models of attack on IoT systems and solutions to prevent such attacks. Examining the requirements to secure IoT- systems, the book offers recovery strategies and addresses security concerns related to: Data Routing Data Integrity Device Supervision IoT Integration Information Storage IoT Performance The book takes a holistic approach that encompasses visibility, segmentation, and protection. In addition to visual approaches and policy- driven measures, the book looks at developing secure and fault- tolerant IoT devices. It examines how to locate faults and presents mitigation strategies, as well as security models to prevent and thwart hacking. The book also examines security issues related to IoT systems and device maintenance. Cover Half Title Title Page Copyright Page Table of Contents Preface List of Contributors Chapter 1 The Internet of Things (IoT): A Cripple to Data Privacy and Security 1.1 Defining the Internet of Things (IoT) 1.2 Role of Data in IoT 1.2.1 Defining Data 1.2.2 Data-Run Technology 1.3 Data Privacy and Security 1.3.1 Understanding Privacy 1.3.2 Data Privacy 1.3.3 Data Protection a Human Right 1.3.4 Data Protection in Other Jurisdictions 1.4 Challenges of Data Privacy and Security 1.5 Conclusion References Chapter 2 Cyber-Physical Threat Intelligence for IoT Using Machine Learning 2.1 Introduction 2.2 Related Work 2.2.1 MQTT: Threat Model 2.3 Research Methodology 2.4 Experimental Setup and Analysis 2.5 Results 2.5.1 Scenario 1: The Network Is in a Normal State (Transmission Delay and Energy Use) 2.5.2 Scenario 2: Attack On a System (WSN Operations to Find Anomalies) 2.6 Conclusions References Chapter 3 Privacy Preservation in Cyber Physical Systems Using Entropy-Based Techniques 3.1 Introduction 3.2 Privacy Domains 3.3 Related Work 3.4 Proposed Mechanism 3.5 Experimental Results 3.6 Future Directions 3.7 Conclusion References Chapter 4 Securing IoT Environment Using Bio-Inspired Meta-Heuristic Methodologies 4.1 Introduction 4.1.1 Security Issues in IoT 4.1.2 Literature Survey 4.2 Overview of the Proposed Work 4.2.1 Data Preprocessing 4.2.2 Recursive Feature Elimination 4.2.3 Feature Selection 4.2.4 Elephant Search Optimization 4.2.5 Chaotic Map Bat Optimization Algorithm 4.2.6 Hybrid Elephant and Chaotic Bat Optimization Algorithm (HECB_OA) 4.2.7 Ensemble Voting Classifier 4.2.7.1 Hard Voting 4.2.7.2 Soft Voting 4.3 Experimental Results 4.4 Conclusion References Chapter 5 Security of IoT and Its Solutions 5.1 Introduction 5.2 IoT Security-Critical Application Zones 5.3 Vulnerability Sources in IoT Applications 5.3.1 Adware, Spyware, and Other Viruses 5.3.2 Insufficient Efforts Made for Authentication and Authorization 5.3.3 Interference With the Body 5.3.4 Communication Routes That Are Not Protected 5.3.5 Insecure Data Storage 5.3.6 IoT Device Vulnerabilities 5.4 Security Challenges of IoT 5.5 Solutions for IoT Security 5.6 Conclusion Chapter 6 A Gradational Approach for Auditing IoT Security Vulnerability: Case Study of Smart Home Devices 6.1 Introduction 6.2 IoT Security Standards 6.3 Literature Study 6.4 Framework for Security Audit of IoT 6.5 Proposed Framework 6.5.1 Data Collection 6.5.2 Verification 6.5.3 Dashboard 6.6 Experimental Results 6.6.1 Experimental Results 6.7 Discussions 6.8 Conclusion References Chapter 7 Managing and Securing Information Storage in the Internet of Things 7.1 Introduction to Managing and Securing Information Storage in IoT 7.1.1 Importance of Information Storage in IoT 7.1.2 Challenges and Risks in IoT Data Storage 7.1.3 Overview of Security Concerns in IoT Storage 7.2 Storage Alternatives for IoT Data 7.2.1 Cloud Storage Solutions for IoT Data 7.2.2 Edge Storage Solutions for IoT Data 7.2.3 Hybrid Storage Approaches for IoT Data 7.3 Security Measures for IoT Data Storage 7.4 Backup and Disaster Recovery in IoT Storage 7.5 Data Integrity and Verification in IoT Storage 7.6 Future Trends and Challenges in IoT Storage References Chapter 8 Mitigation of Internet of Things: Cloud Security Challenges By Using Adaptive Security Principles 8.1 Introduction 8.2 Security Challenges Faced By IoT-Cloud 8.2.1 Data Breaches 8.2.2 Effective Data Management 8.2.3 Cloud Security 8.2.4 Malicious Intruders 8.2.4.1 IoT Security Issues 8.2.4.2 Cloud Computing Security Issues 8.3 Suggestive Model 8.3.1 Use of Secure Communication Protocols 8.3.2 Implement Access Control 8.3.3 Use Strong Authentication 8.3.4 Implement Secure Updates 8.3.5 Monitor and Analyze Data 8.3.6 Secure Storage and Backup 8.3.7 Consistent Security Audits 8.3.8 Prior Steps to Secure IoT-Cloud 8.4 Consult With Cloud IoT Providers About Their Most Recent Security Audits 8.4.1 Use the Security Choices That Cloud Service Providers Supply 8.4.2 Use the Cloud to Increase IoT Device Security 8.4.3 Fix the Roles and Responsibilities of the Cloud Vendor and Enterprise IT 8.4.4 Use the Cloud to Implement Security Measures 8.4.5 Channel Networks 8.5 Summarization References Chapter 9 IoT Security With Blockchain Technology in the Financial Sector 9.1 Introduction 9.2 Internet of Things (IoT) 9.3 Blockchain Technology 9.4 Characteristics of Blockchain Technology 9.5 Types of Blockchain 9.6 Challenges of IOT 9.7 Blockchain-Based Solutions for IoT Challenges 9.8 Conclusion and Suggestions References Chapter 10 Self-Adaptive Cyber-Physical Systems in IoT 10.1 Introduction to Self-Adaptive Cyber-Physical Systems in IoT 10.2 Overview of Cyber-Physical Systems 10.3 Characteristics and Challenges of IoT-Based Systems 10.4 Self-Adaptive Systems: Definition and Importance 10.5 Autonomic Computing for IoT-Based Systems 10.6 Machine Learning and AI Techniques for Self-Adaptive Systems 10.7 Control Theory and Dynamic Systems for Self-Adaptive Cyber-Physical Systems 10.8 Self-Optimization and Self-Configuration in IoT-Based Systems 10.9 Self-Healing and Self-Protection Mechanisms for IoT-Based Systems 10.10 Predictive Maintenance in IoT-Based Systems 10.11 Edge, Fog, and Cloud Computing for Self-Adaptive Cyber-Physical Systems 10.12 Big Data Analytics for Self-Adaptive Systems 10.13 Security and Privacy in Self-Adaptive Cyber-Physical Systems 10.14 Case Studies and Applications of Self-Adaptive Cyber-Physical Systems in IoT 10.15 Future Directions and Research Challenges in Self-Adaptive Cyber-Physical Systems in IoT 10.16 Conclusion References Chapter 11 The Internet of Things (IoT): Security and Privacy Issues in IoT and Its Solutions 11.1 Introduction 11.2 Security in IoT 11.2.1 Nest-Camera Hacker 11.2.2 A Flaw in Several Chrysler Models 11.3 Privacy in IoT 11.3.1 Bottom Line 11.4 IoT Security Solutions 11.4.1 Understanding the Architecture 11.4.2 Methods Used to Provide Security to IoT Devices 11.5 Conclusion References Chapter 12 The Dark Side of Internet of Things in E-Commerce: Uncovering the Misuse of Personal Information 12.1 IoT, Big Data and Data Mining – Meaning and Application 12.2 Big Data 12.3 Data Mining 12.4 Digital Marketing as a Tool in IoT 12.5 Obtaining the Right to Personal Data: Theory Versus Reality 12.6 Lack of Explicit Consent to Transfer Data 12.7 Profiling 12.8 Instances of Misuse of Personal Information 12.9 Alibaba Group Holdings 12.10 EBay Inc. 12.11 Target Corporation 12.12 Conclusion 12.13 Suggestions References Chapter 13 Intrusion Detection in Home Automation in IoT 13.1 Introduction 13.1.1 Overview of IoT and Home Automation Systems 13.1.2 Security Challenges in Home Automation 13.2 Importance of Intrusion Detection 13.2.1 Common IoT Security Threats and Vulnerabilities 13.2.2 Attack Trajectories 13.2.3 Risks Posed By Compromised Devices 13.3 Intrusion Detection Systems (IDS) in Home Automation 13.3.1 What Is an IDS and How Does It Work? 13.3.2 Types of IDS for Home Automation 13.3.3 Benefits of Using an IDS 13.4 Designing an IDS for Home Automation 13.4.1 Key Features to Consider 13.4.2 Integration With Other Security Systems 13.4.3 User Interface and Ease of Use 13.5 Implementing an IDS for Home Automation 13.5.1 Best Practices for Deployment 13.5.2 Challenges and Limitations 13.5.3 Examples of Successful Implementations 13.6 Case Study: Intrusion Detection in Smart Home Security Systems 13.6.1 Overview of Popular Smart Home Security Systems 13.6.2 Analysis of How IDS Can Enhance Security 13.6.3 Real-World Examples of Intrusion Detection in Action 13.7 Conclusion and Future Directions 13.7.1 Summary of Key Findings 13.7.2 Future Directions for Research and Development 13.7.3 Final Thoughts and Recommendations References Chapter 14 IoT Performance Assessment 14.1 IoT 14.1.1 Interoperability Evaluation 14.1.2 System Integration and Communication 14.1.3 Resource Utilization 14.1.4 Scalability and Flexibility 14.1.5 Problem Detection and Optimization 14.1.6 Service Level Agreement (SLA) Compliance 14.2 Technology in IoT 14.2.1 Representational State Transfer (REST) 14.2.2 Message Queuing Telemetry Transport (MQTT) 14.2.3 Extensible Messaging and Presence Protocol (XMPP) 14.2.4 Open Geospatial Consortium Sensor Web Enablement (OGC SWE) 14.2.5 Constrained Application Protocol (CoAP) 14.3 Performance Evaluation of IoT 14.3.1 Load Generation 14.3.2 Metrics Collection 14.3.3 Scalability Evaluation 14.3.4 Stability Evaluation 14.4 Case Studies: IoT Platforms 14.4.1 Insights 14.5 Conclusion References Chapter 15 Case Studies On IoT Systems Performance Analysis 15.1 Introduction 15.1.1 Why IoT Is Needed at All? 15.1.2 Case Study 1: Bearing Systems 15.1.3 Importance of Technology in the Life of the Common Man 15.1.4 Case Study 2: From Healthcare Sector 15.1.5 Case Study 3: From the Agriculture Sector 15.2 Existing IoT Infrastructure and Its Shortcomings 15.3 Key Features for IoT Repository to Mitigate the Shortcomings of IoT Infrastructure 15.4 Proposed Solution Architecture 15.4.1 Statement of the Problem 15.4.2 Objectives 15.4.3 Solution Architecture 15.5 Summary of the Proposed Solution 15.6 Technology Behind IoT 15.6.1 Some Key Technologies Behind IoT 15.7 Problem Analysis and Designing a Solution 15.8 To Analyze a Problem and Design a Solution for an IoT Project Acknowledgement References Chapter 16 Privacy and Security Issues in Smart Homes in an IoT Environment 16.1 Introduction 16.2 Literature Review 16.3 Architecture 16.4 Security and Privacy in the IoT 16.5 Concerns With IoT Privacy Protection 16.5.1 User Privacy Violation Threats 16.5.2 Network/Devices Privacy Violation Threats 16.6 Security Attacks 16.7 Impact Evaluation 16.8 Security Challenges Smart Home Environment 16.9 Result and Discussion 16.10 Conclusion References Chapter 17 Enhancing Security: Detecting Intrusions in IoT-Based Home Automation 17.1 Introduction to Home Automation and IoT 17.1.1 Benefits of Home Automation and IoT 17.1.2 Challenges of Home Automation and IoT 17.1.3 Technologies Driving the Growth of Home Automation and IoT 17.2 Overview of Intrusion Detection Systems (IDS) 17.2.1 Types of IDS 17.2.2 Functions of IDS 17.2.3 Architectures of IDS 17.2.4 Strengths and Weaknesses of IDS 17.3 Intrusion Detection in Home Automation Systems 17.3.1 Types of Intrusions in Home Automation Systems 17.3.2 Challenges in Intrusion Detection for Home Automation Systems 17.3.3 Existing Intrusion Detection Approaches for Home Automation Systems 17.3.4 Strengths and Weaknesses of Existing Approaches 17.3.5 Challenges in Intrusion Detection for Home Automation Systems 17.4 Machine-Learning Techniques for Intrusion Detection in Home Automation Systems 17.4.1 ML Techniques for IDS in Home Automation Systems 17.5 Intrusion Detection System Designed for Home Automation 17.6 Conclusion 17.7 Future Work References Index The Internet of Things (IoT) is a widely distributed and networked system of interrelated and interacting computing devices and objects. Because of IoT’s broad scope, it presents unique security problems, ranging from unsecure devices to users vulnerable to hackers. Presenting cutting-edge research to meet these challenges, Internet of Things Vulnerabilities and Recovery Strategies presents models of attack on IoT systems and solutions to prevent such attacks. Examining the requirements to secure IoT-systems, the book offers recovery strategies and addresses security concerns related to:Data RoutingData IntegrityDevice SupervisionIoT IntegrationInformation StorageIoT PerformanceThe book takes a holistic approach that encompasses visibility, segmentation, and protection. In addition to visual approaches and policy-driven measures, the book looks at developing secure and fault-tolerant IoT devices. It examines how to locate faults and presents mitigation strategies, as well as security models to prevent and thwart hacking. The book also examines security issues related to IoT systems and device maintenance.