Digital Forensics and Internet of Things – Impact and Challenges

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