دانلود کتاب Digital Forensics and Internet of Things – Impact and Challenges

فهرست مطالب :

Cover Half-Title Page Series Page Title Page Copyright Page Contents Preface 1 Face Recognition–Based Surveillance System: A New Paradigm for Criminal Profiling 1.1 Introduction 1.2 Image Processing 1.3 Deep Learning 1.3.1 Neural Network 1.3.2 Application of Neural Network in Face Recognition 1.4 Methodology 1.4.1 Face Recognition 1.4.2 Open CV 1.4.3 Block Diagram 1.4.4 Essentials Needed 1.4.5 Website 1.4.6 Hardware 1.4.7 Procedure 1.5 Conclusion References 2 Smart Healthcare Monitoring System: An IoT-Based Approach 2.1 Introduction 2.2 Healthcare at Clinics 2.3 Remote Healthcare 2.4 Technological Framework 2.5 Standard UIs, Shows, and User Requirements 2.5.1 Advantages 2.5.2 Application 2.6 Cloud-Based Health Monitoring Using IoT 2.7 Information Acquisition 2.8 The Processing of Cloud 2.9 IoT-Based Health Monitoring Using Raspberry Pi 2.10 IoT-Based Health Monitoring Using RFID 2.10.1 Sensor Layer 2.10.2 Network Layer 2.10.3 Service Layer 2.11 Arduino and IoT-Based Health Monitoring System 2.12 IoT-Based Health Monitoring System Using ECG Signal 2.12.1 System Model 2.12.2 Framework 2.13 IoT-Based Health Monitoring System Using Android App 2.13.1 Transferring the Information to the Cloud 2.13.2 Application Controls 2.14 Conclusion and Future Perspectives References 3 Design of Gesture-Based Hand Gloves Using Arduino UNO: A Grace to Abled Mankind 3.1 Introduction 3.1.1 Block Diagram 3.1.2 The Proposed New Design 3.1.3 Circuit Diagram 3.2 Result and Discussion 3.2.1 Data Analysis 3.3 Conclusion 3.4 Future Scope References 4 Playing With Genes: A Pragmatic Approach in Genetic Engineering 4.1 Introduction 4.2 Literature Review 4.3 Methodology 4.3.1 Plasmid Method 4.3.2 The Vector Method 4.3.3 The Biolistic Method 4.4 Food and Agriculture 4.5 Impact on Farmers 4.6 Diseases: Gene Editing and Curing 4.7 Conclusion 4.8 Future Scope References 5 Digital Investigative Model in IoT: Forensic View 5.1 Introduction 5.1.1 Artificial Neural Network 5.2 Application of AI for Different Purposes in Forensic Science 5.2.1 Artificial Intelligence for Drug Toxicity and Safety 5.2.2 Crime Scene Reconstruction 5.2.3 Sequence or Pattern Recognition 5.2.4 Repositories Building 5.2.5 Establishment of Connection Among the Investigating Team 5.2.6 Artificial Intelligence and Expert System in Mass Spectrometry 5.2.7 AI in GPS Navigation 5.3 Future of AI 5.4 Challenges While Implementing AI 5.4.1 Unexplainability of AI 5.4.2 AI Anti-Forensics 5.4.3 Connection Interruption Between the Cyber Forensics and AI Communities 5.4.4 Data Analysis and Security 5.4.5 Creativity 5.5 Conclusion References 6 Internet of Things Mobility Forensics 6.1 Introduction 6.2 Smart Device and IoT 6.3 Relation of Internet of Things with Mobility Forensics 6.3.1 Cyber Attack on IoT Data 6.3.2 Data Recovery from IoT Devices 6.3.3 Scenario-Based Analysis of IoT Data as Evidence 6.4 Mobility Forensics IoT Investigation Model 6.5 Internet of Things Mobility Forensics: A Source of Information 6.6 Drawbacks in IoT Devices Data Extraction 6.7 Future Perspective of Internet of Things Mobility Forensics 6.8 Conclusion References 7 A Generic Digital Scientific Examination System for Internet of Things 7.1 Introduction 7.2 Internet of Things 7.3 IoT Architecture 7.4 Characteristics of IoT 7.5 IoT Security Challenges and Factors of Threat 7.5.1 Effects of IoT Security Breach 7.6 Role of Digital Forensics in Cybercrime Investigation for IoT 7.6.1 IoT in Digital Forensic 7.6.2 Digital Forensics Investigation Framework for IoT Devices 7.6.3 Road Map for Issues in IoT Forensics 7.7 IoT Security Steps 7.7.1 How to Access IoT Security 7.8 Conclusion References 8 IoT Sensors: Security in Network Forensics 8.1 Introduction 8.2 Cybersecurity Versus IoT Security and Cyber-Physical Systems 8.3 The IoT of the Future and the Need to Secure 8.3.1 The Future—Cognitive Systems and the IoT 8.4 Security Engineering for IoT Development 8.5 Building Security Into Design and Development 8.6 Security in Agile Developments 8.7 Focusing on the IoT Device in Operation 8.8 Cryptographic Fundamentals for IoT Security Engineering 8.8.1 Types and Uses of Cryptographic Primitives in the IoT 8.8.1.1 Encryption and Decryption 8.8.1.2 Symmetric Encryption 8.8.1.3 Asymmetric Encryption 8.8.1.4 Hashes 8.8.1.5 Digital Signatures 8.8.1.6 Symmetric (MACS) 8.8.1.7 Random Number Generation 8.8.1.8 Cipher Suites 8.9 Cloud Security for the IoT 8.9.1 Asset/Record Organization 8.9.2 Service Provisioning, Billing, and Entitlement Management 8.9.3 Real-Rime Monitoring 8.9.4 Sensor Coordination 8.9.5 Customer Intelligence and Marketing 8.9.6 Information Sharing 8.9.7 Message Transport/Broadcast 8.10 Conclusion References 9 Xilinx FPGA and Xilinx IP Cores: A Boon to Curb Digital Crime 9.1 Introduction 9.2 Literature Review 9.3 Proposed Work 9.4 Xilinx IP Core Square Root 9.5 RTL View of the 8-Bit Multiplier 9.5.1 Eight-Bit Multiplier Simulation Results Using IP Core 9.6 RTL View of 8-Bit Down Counter 9.6.1 Eight-Bit Down Counter Simulation Results 9.7 Up/Down Counter Simulation Results 9.8 Square Root Simulation Results 9.9 Hardware Device Utilization Reports of Binary Down Counter 9.10 Comparison of Proposed and Existing Work for Binary Up/Down Counter 9.10.1 Power Analysis of Binary Up/Down Counter 9.11 Conclusion References 10 Human-Robot Interaction: An Artificial Cognition-Based Study for Criminal Investigations 10.1 Introduction 10.1.1 Historical Background 10.2 Methodology 10.2.1 Deliberative Architecture and Knowledge Model 10.2.1.1 Natural Mind 10.2.1.2 Prerequisites for Developing the Mind of the Social Robots 10.2.1.3 Robot Control Paradigms 10.3 Architecture Models for Robots 10.4 Cognitive Architecture 10.4.1 Taxonomy of Cognitive Architectures 10.4.1.1 Symbolic Architectures 10.4.1.2 The Emergent or the Connectionist Architecture 10.4.1.3 The Hybrid Architecture 10.4.2 Cognitive Skills 10.4.2.1 Emotions 10.4.2.2 Dialogue for Socially Interactive Communication 10.4.2.3 Memory in Social Robots 10.4.2.4 Learning 10.4.2.5 Perception 10.5 Challenges in the Existing Social Robots and the Future Scopes 10.5.1 Sensors Technology 10.5.2 Understanding and Learning from the Operator 10.5.3 Architectural Design 10.5.4 Testing Phase 10.5.5 Credible, Legitimate, and Social Aspects 10.5.6 Automation in Digital Forensics 10.6 Conclusion 10.7 Robots in Future Pandemics References 11 VANET: An IoT Forensic-Based Model for Maintaining Chain of Custody 11.1 Introduction 11.2 Cluster Performance Parameters 11.3 Routing Protocols in VANET 11.3.1 Performance Metrics PDR Number of packets received Number of packets sent Throughput Total Number of received byte Total no. of transmissions Delay arrival time send time no of connections 11.3.2 Proposed Cluster Head Selection Algorithm 11.4 Internet of Vehicles 11.5 IoT Forensic in Vehicular Ad Hoc Networks 11.6 Conclusion References 12 Cognitive Radio Networks: A Merit for Teleforensics 12.1 Introduction 12.1.1 Integration of WSN with Psychological Radio 12.1.2 Characteristics of Cognitive Radio 12.2 Contribution of Work 12.2.1 Push-to-Talk 12.2.2 Digital Forensic–Radio Communication Equipment 12.2.3 Energy Harvesting Network 12.2.4 Challenges with the Use of Clusters in Cognitive Radio Networks 12.3 Conclusion and Future Scope Acknowledgement References 13 Fingerprint Image Identification System: An Asset for Security of Bank Lockers 13.1 Introduction 13.1.1 Design Analysis 13.2 Result and Discussion 13.3 Conclusion 13.4 Future Scope References 14 IoT Forensics: Interconnection and Sensing Frameworks 14.1 Introduction 14.2 The Need for IoT Forensics 14.3 Various Types of Evidences Encountered 14.4 Protocols and Frameworks in IoT Forensics 14.5 IoT Forensics Process Model 14.6 Suggestive Solutions 14.7 Conclusion References 15 IoT Forensics: A Pernicious Repercussions 15.1 Introduction: Challenges in IoT Forensics 15.2 Scope of the Compromise and Crime Scene Reconstruction 15.3 Device and Data Proliferation 15.4 Multiple Data Location and Jurisdiction Challenges 15.5 Device Type 15.6 Lack of Training and Weak Knowledge Management 15.7 Data Encryption 15.8 Heterogeneous Software and/or Hardware Specifications 15.9 Privacy and Ethical Considerations by Accessing Personal Data 15.10 Lack of a Common Forensic Model in IoT Devices 15.11 Securing the Chain of Custody 15.12 Lifespan Limitation 15.13 The Cloud Forensic Problem 15.14 The Minimum or Maximum Period in Which Data is Stored in the Cloud 15.15 Evidence Analysis and Correlation 15.16 Conclusion References About the Editors Index