Book description
DIGITAL FORENSICS AND INTERNET OF THINGSIt pays to be ahead of the criminal, and this book helps organizations and people to create a path to achieve this goal.
The book discusses applications and challenges professionals encounter in the burgeoning field of IoT forensics. IoT forensics attempts to align its workflow to that of any forensics practice—investigators identify, interpret, preserve, analyze and present any relevant data. As with any investigation, a timeline is constructed, and, with the aid of smart devices providing data, investigators might be able to capture much more specific data points than in a traditional crime. However, collecting this data can often be a challenge, as it frequently doesn’t live on the device itself, but rather in the provider’s cloud platform. If you can get the data off the device, you’ll have to employ one of a variety of methods given the diverse nature of IoT devices hardware, software, and firmware. So, while robust and insightful data is available, acquiring it is no small undertaking.
Digital Forensics and Internet of Things encompasses:
- State-of-the-art research and standards concerning IoT forensics and traditional digital forensics
- Compares and contrasts IoT forensic techniques with those of traditional digital forensics standards
- Identifies the driving factors of the slow maturation of IoT forensic standards and possible solutions
- Applies recommended standards gathered from IoT forensic literature in hands-on experiments to test their effectiveness across multiple IoT devices
- Provides educated recommendations on developing and establishing IoT forensic standards, research, and areas that merit further study.
Audience
Researchers and scientists in forensic sciences, computer sciences, electronics engineering, embedded systems, information technology.
Table of contents
- Cover
- Title Page
- Copyright
- Preface
- 1 Face Recognition–Based Surveillance System: A New Paradigm for Criminal Profiling
-
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
- 2.6 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
- 2.11 Arduino and IoT-Based Health Monitoring System
- 2.12 IoT-Based Health Monitoring System Using ECG Signal
- 2.13 IoT-Based Health Monitoring System Using Android App
- 2.14 Conclusion and Future Perspectives
- References
- 3 Design of Gesture-Based Hand Gloves Using Arduino UNO: A Grace to Abled Mankind
- 4 Playing With Genes: A Pragmatic Approach in Genetic Engineering
- 5 Digital Investigative Model in IoT: Forensic View
-
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
- 6.4 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
-
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
- 8.4 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
- 8.9 Cloud Security for the IoT
- 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
- 9.6 RTL View of 8-Bit Down Counter
- 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
- 9.11 Conclusion
- References
- 10 Human-Robot Interaction: An Artificial Cognition-Based Study for Criminal Investigations
- 11 VANET: An IoT Forensic-Based Model for Maintaining Chain of Custody
- 12 Cognitive Radio Networks: A Merit for Teleforensics
- 13 Fingerprint Image Identification System: An Asset for Security of Bank Lockers
- 14 IoT Forensics: Interconnection and Sensing Frameworks
-
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
- End User License Agreement
Product information
- Title: Digital Forensics and Internet of Things
- Author(s):
- Release date: April 2022
- Publisher(s): Wiley-Scrivener
- ISBN: 9781119768784
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