Forensic Investigation of Smart Digital Devices

A Hands-On Guide
1. Auflage 2026
ISBN: 978-1-041-07830-2
Verlag: CRC Press

Buch, Englisch, 288 Seiten, Format (B × H): 156 mm x 234 mm

The rapid advancement and ubiquitous presence of smart connected devices have transformed our daily lives, significantly increasing productivity, efficiency, and accessibility. However, this growth has also led to an exponential rise in electronic data generation and storage, which, in turn, has created new avenues for cybercrime. As devices ranging from home appliances to vehicles and wearable technology become integral to our everyday activities, they continuously produce data that can be exploited by malicious actors, necessitating robust forensic investigation techniques. "Forensic Investigation of Smart Connected Devices: A Hands-on Guide" provides a thorough and practical resource for addressing the forensic challenges associated with these technologies. This book explores the forensic investigation of a wide array of smart connected devices, including IoT devices, smartphones, SIM cards, drones, humanoid social robots, gaming consoles, smart wearables, applications, social networks, and digital vehicles. It details the methodologies for evidence extraction, analysis, and reporting, emphasizing the need for specialized approaches tailored to each type of device. This guide is designed to equip forensic investigators, cybersecurity professionals, law enforcement personnel, and researchers with the necessary skills and knowledge to conduct thorough forensic investigations. Through practical examples, case studies, and hands-on exercises, the book bridges the gap between theory and practice, providing a valuable resource for enhancing cybersecurity and effectively combating cybercrime in the digital era.

Zielgruppe

Academic, Postgraduate, and Professional Reference

Autoren/Hrsg.

Iqbal, Farkhund

Fachgebiete

• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Netzwerksicherheit
• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit Kryptographie, Datenverschlüsselung
• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit Datensicherheit, Datenschutz

Inhaltsverzeichnis

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: Overview and Forensic Relevance. 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. 5.4. 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 Digital Forensics. 12.3. Generative AI in Digital Forensics. 12.4. Expert Systems in Digital Forensics. 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 Digital Forensics. 13.4. Futuristic Challenges in Smart Connected Device Forensics. End of Chapter Questions. References. Glossary of Key Terms.

Über Autor(innen)

Dr. Farkhund Iqbal is a Full Professor and team lead for the Cybersecurity and Digital Forensics (CAD) research group in Center for Smart Cities and Intelligent Systems College of Technological Innovation, Zayed University, United Arab Emirates. He has more than 15+ years of teaching and research experience. He believes in student-centered, engaging, interactive and collaborative teaching and learning environments where students are equipped with the required knowledge, skills and competence to fit the emerging needs of society. He is using Artificial Intelligence, Machine Learning, Service Robotics and Data Analytics techniques for problem-solving in digital security, digital forensics, healthcare, cybercrime investigation and smart city domains. He has successfully executed more than 30 internal and external research projects (with more than USD 3M funding), which have resulted in 200+ peer-reviewed impactful publications, a lead authored book (with Springer publisher), and more than 4454 citations and i-h:87 (on Google Scholar). He has served as a chair and co-chair for several IEEE/ACM conferences and has been guest editor and reviewer for multiple high-rank journals. He has successfully supervised Ph.D. and Master’s students and Capstone projects at McGill University, Ontario Tech University, Canada and Zayed University, UAE.