Cyber Forensics and Investigation on Smart Devices: Volume 1

Table of Contents

• Foreword
• Preface
• List of Contributors

• Lokaiah Pullagura, Nalli Vinaya Kumari and Hemanta Kumar Bhuyan
• 1. Introduction
• 2. Related Work
• 3. Smart Home Labs
• 3.1. Process of IoT Forensic Analysis
• 3.2. The Flow of the Process of IoT Forensic Analysis
• 3.2.1. Seizure and Identification
• 3.2.2. Extraction
• 3.2.3. Preservation
• 3.2.4. Analysis
• 3.2.5. Reconstruction
• 3.2.6. Reporting
• 4. Forensic Analysis of a Smart Home
• 4.1. Lab for Intelligent Residences: An Initial Examination
• 4.2.1. Analyses of Media Streaming Players
• 4.2.2. Analysis of Smart Watches
• 4.2.3. Analyses of the Intelligent Hub
• 4.2.4. An Examination of Smart Doorbells and Smart Locks
• 4.2.5. Analyzing Applications for Network Security
• 4.2.6. Data Mining for the Smart Plug
• 4.2.7. Analyzing the Smart Cameras
• 4.2.8. Analysis of Smart Bulb
• 5. Scenarios for Possible Smart Home Threats
• Conclusion
• References

• Preeti, Manoj Kumar and Hitesh Kumar Sharma
• 1. Introduction
• 1.1. Origin of Digital Forensics
• 1.2. Objectives of Digital Forensics
• 2. Digital Forensics and Its Current Issues
• 2.1. Prominent Issues of Digital Forensics
• 2.1.1. Social Networking
• 2.1.2. The Growing Size of Storage
• 2.1.3. Mobile and Embedded Devices
• 2.1.4. Encryption of Course
• 2.1.5. Anti-Forensics
• 3. Phases of Digital Forensics
• 3.1. Identification
• 3.2. Preservation
• 3.3. Analysis
• 3.4. Documentation
• 3.5. Presentation
• 4. Different Types of Digital Forensics
• 4.1. Disk Forensics
• 4.2. Networks Forensics
• 4.3. Email Forensics
• 4.4. Malware Forensics
• 4.5. Database Forensics and Memory Forensics
• 4.6. Mobile Phone Forensics
• 5. Tools for Digital Forensic Analysis
• 5.1. Encase
• 5.2. Sleuth Kit
• 5.3. Ftk Toolkit
• 6. Cybercrime Digital Forensics Tools
• 6.1. Memgator
• 6.2. First on Scene
• 6.3. Galleta
• 6.4. Ethreal
• 6.5. Pasco
• 6.6. Rifiuti
• 6.7. Network Mapper (Nmap)
• 7. Use Cases and Software Implications of Digital Forensics
• 7.1. Ftk Forensic Toolkit
• 7.1.1. Applications
• 7.2. IBM Security Qradar
• 7.3. Extrahop
• 7.3.1. Background
• 7.4. Parrot Security Os
• 7.4.1. System Basic Requirements
• 7.4.2. Features
• 7.5. Sleuth Kit (+Autopsy)
• 7.5.1. Applications
• 7.5.2. Features
• 8. Digital Forensics Challenges/Advantages/Disadvantages/
• Applications
• 8.1. Challenges
• 8.1.1. Proof Oriented Design
• 8.1.2. Data View Inconsistency
• 8.1.3. Item Interpolation Mechanism
• 8.1.4. Run-Time Versus Execution
• 8.1.5. Digital Forensic Awareness
• 8.1.6. Technology Gap
• 8.1.7. Technology Versus Tools
• 8.2. Pros of Digital Forensics
• 8.3. Cons of Digital Forensics
• 8.4. Applications of Digital Forensics
• 9. Legitimate Considerations
• 9.1. Legal Consideration
• 1 0. Artificial Intelligence and Its Application in Digital Forensics 46
• Conclusion
• References

• Hepi Suthar
• 1. Introduction
• 2. Experiment Work
• 3. Additional Insight
• Conclusion
• References

• Tripti Misra, Devakrishna C. Nair, Prabhu Manikandan V and Abhishek K. Pradhan
• 1. Introduction
• 2. Literature Review
• 3. Popular Browsers
• 3.1. The Chromium Project
• 3.2. Firefox
• 3.3. Safari
• 4. Extracting Information from Browser Sqlite Files
• 4.1. Parsing Sqlite Files
• 4.2. Using a Simple Python Script
• 4.2.1. Using “Db Browser for Sqlite”
• 4.2.2. Web Browser Artifacts for Forensics
• 4.2.3. Extracting Encrypted Information from Chromium-Based Browsers
• 4.2.4. Analyze Artifacts Found Within the Extensible Storage Engine (Ese) Database
• Format
• 4.2.5. Examine Files Downloaded by Suspect
• 4.2.6. Determine Urls That Suspects Typed, Clicked On, and Bookmarked (Check For
• Malicious Urls Visited)
• 5. Issues in Browser Forensics
• Concluding Remarks
• References

• Ankit Vishnoi and Varun Sapra
• 1. Introduction
• 1.1. Phone Parts Damaged When Dropped into the Water
• 1.2. What Should One Do If the Phone Gets Wet or Contacts Any Liquid?
• 1.2.1. Take Out Mobile from Water
• 1.2.2. Remove All Parts from Smartphones
• 2. Literature Review
• 3. Data Recovery
• 3.1. Data Recovery Using Google Drive
• 4. Data Recovery from Damaged Mobile
• 4.1. Case Study 1
• 4.1.1. The Evolution of Mobile Forensics at Nist
• 4.1.2. Nist Forensic Methods
• 4.2. Case Study 2
• 4.2.1. When is a Chip-Off Extraction to Be Considered?
• 4.2.2. What Kinds of Devices Can a Chip-Off Extract?
• 4.3. Experimental Setup
• 4.4. Chip-Off Method
• 5. Results
• Conclusion
• References

• in Health Care Systems
• Varun Sapra, Ankit Vishnoi and Luxmi Sapra
• 1. Introduction
• 2. Impact of Cyber Threats on Medical Data
• 2.1. Dataset Description
• 2.2. Related Work
• 3. Proposed Detection System
• Conclusion
• References
• Subject Index

Author

• Akashdeep Bhardwaj
• Keshav Kaushik