Forensic Investigation of Smart Digital Devices

Acknowledgements. AI Usage.

1. IoT Forensics. 1.1. Cybercrime Investigation and Digital Forensic Process. 1.2. Why IoT Forensics. 1.3. IoT Forensics Models. 1.4. IoT Forensics Methodologies. 1.5. Key Components of IoT Devices. 1.6. Key Challenges. 1.7. Opportunities in IoT Forensics. End of Chapter Questions. References.

2. Forensic Analysis Methods for IoT Devices. 2.1. Confiscation. 2.2. Acquisition. 2.3. Analysis and Examination. 2.4. Reporting and Presentation. 2.5. Digital Forensic Tools. End of Chapter Questions. References.

3. Smartphone Forensics. 3.1. Smartphone Forensics: An Overview. 3.2. Smartphone Components. 3.3. Evidence Extraction using Murphy's Model. 3.4. Smartphone Heterogeneity and the Forensics Process. 3.5. Challenges in Smartphone Forensics. 3.6. Practical Forensic Acquisition of SmartPhones. End of Chapter Questions. References.

4. Embedded Chips. 4.1. Relevance in Digital Forensics. 4.2. Smart Card Forensics. 4.3. Thumb Drives (USB Drives). 4.4. TransFlash Cards Forensics. 4.5. Authentication Sticks Forensics. End of Chapter Questions. References.

5. Unmanned Aerial Vehicles (UAVs) Forensics. 5.1. UAV Components and Models. 5.2. Drone Forensics Analysis Methods. 5.3 Case studyâ"DJI phantom 3. 5.4. Challenges in Drone Forensics. End of Chapter Questions. References.

6. Social Robot Forensics. 6.1. Robot Operating System. 6.2. Forensic Methodology. End of Chapter Questions. References.

7. Gaming Consoles Forensics. 7.1. Vulnerabilities in Gaming Consoles. 7.2. Gaming Console Forensics. 7.3. Digital Surveillance for Xbox Kit (XFT Device). 7.4. Forensic Acquisition of an Xbox One S Gaming Console Using FTK. 7.5. Digital Forensic Analysis of PS4 Gaming Console Using Save Wizard. End of Chapter Questions. References.

8. Smart Wearables' Forensics. 8.1. Smart Wearables. 8.2. Smart Wearables' Forensics. 8.3. Challenges in Smart Wearables Forensics. End of Chapter Questions. References.

9. Application Forensics. 9.1. Application Heterogeneity. 9.2. Data (Artifact) Localities. 9.3 State-of-the-Art. 9.4. Case Studies. End of Chapter Questions. References.

10. Autonomous Vehicle Forensics. 10.1. Autonomous Vehicle Components. 10.2. Digital Vehicle Forensics. End of Chapter Questions. References.

11. AI, ML, and Computer Vision in Modern Digital Forensic Workflows. 11.1. Artificial Intelligence. 11.2. Machine Learning (ML) in Digital Forensics. 11.3. Computer Vision in Digital Forensic. End of Chapter Questions. References.

12. Advanced Computational Paradigms in Digital Forensics: Big Data, NLP, and GenAI. 12.1. Big Data. 12.2. Natural Language Processing (NLP) in DF. 12.3. Generative AI in Digital Forensics. 12.4. Expert Systems in DF. End of Chapter Questions. References.

13. Futuristic Technologies and Digital Forensics. 13.1. Blockchain. 13.2. Explainable Artificial Intelligence (XAI) in Digital Forensics. 13.3. Emerging Tools and Frameworks in AI for DF. 13.4. Futuristic Challenges in Smart Connected Device Forensics. End of Chapter Questions. References.

Glossary of Key Terms.