Hands-on IoT Digital Forensics

Open-Source Tools, Techniques, and Case Studies
Erscheinungsjahr 2027
ISBN: 978-981-9263-04-2
Verlag: Springer

Buch, Englisch, 399 Seiten, Format (B × H): 155 mm x 235 mm

This textbook offers the first comprehensive, methodical guide to digital forensics for smart home devices, with a particular focus on Amazon Echo Show and Eufy Doorbell systems. Bridging theory with applied techniques, it presents a complete forensic workflow—from physical acquisition through chip-off and eMMC imaging, to the mounting and examination of system and user partitions. Through detailed walkthroughs and real device case studies, the book demonstrates how to recover OS-level information, extract user activity logs, recover media such as photos and audio recordings, and trace communication logs including phone and video history.

In addition to Echo Show, the book dedicates significant chapters to Eufy smart doorbell forensics, expanding the methodological framework to a broader class of IoT security devices. Readers will learn not only how to acquire and parse device memory, but also how to interpret forensic traces from event logs, cloud-linked accounts, and local system artifacts. Designed for both academic researchers and forensic practitioners, this book delivers deep technical detail alongside reproducible procedures, making it an essential resource for anyone working in IoT forensics, cybersecurity, or digital investigations.

Zielgruppe

Graduate

Autoren/Hrsg.

Xu, Weifeng

Zhang, Wenbin

Fachgebiete

• Mathematik | Informatik EDV | Informatik Angewandte Informatik
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Netzwerksicherheit
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit

Inhaltsverzeichnis

.- Chapter 1: Introduction to IoT Forensics.- Chapter 2: Acquisition Techniques for Echo Show Devices.- Chapter 3: Mounting and Managing Disk Images.-Chapter 4: Operating System and Device Metadata.- Chapter 5: User Profile and Activity Extraction.- Chapter 6: Network and Connectivity Artifacts.- Chapter 7: Web Activity and Search Behavior.- Chapter 8: Photo Artifacts and Carving Techniques.- Chapter 9: Video Data Extraction and Playback History.- Chapter 10: Phone Communication Logs.- Chapter 11: Audio Playback and Log Analysis.-Chapter 12: Disassembly and Acquisition of Eufy Doorbells.- Chapter 13: Mounting and Examining Eufy Images.- Chapter 14: Eufy Event Metadata and Logs.- Chapter 15: Communication Analysis: Eufy HomeBase and Client Devices.- Chapter 16: Eufy HomeBase Activity Log Examination.

Über Autor(innen)

Dr. Weifeng Xu is a Professor and Director of the Cyber Forensics program at the University of Baltimore. His expertise centers on digital forensics and applied AI for cybercrime investigations. Dr. Xu has extensive experience leading federally funded projects supported by agencies, including the NSF, DoD, and NIJ. Dr. Xu has published widely in software engineering, cybersecurity, and digital forensics, and maintains an open digital forensics education repository that has been adopted by universities worldwide. He also serves the community as an ABET evaluator, NSF panel reviewer, and member of program and organizing committees for international conferences in software engineering and cybersecurity.

Dr. Wenbin Zhang is an Assistant Professor in the Knight Foundation School of Computing & Information Sciences at Florida International University, and an Associate Member at the Te Ipu o te Mahara Artificial Intelligence Institute. His research investigates the theoretical foundations of machine learning with a focus on societal impact and welfare. In addition, he has worked in a number of application areas, highlighted by work on healthcare, digital forensics, geophysics, energy, transportation, forestry, and finance. He is a recipient of best paper awards/candidates at ECML PKDD'25, FAccT’23, ICDM’23, DAMI, and ICDM’21, as well as the NSF CRII Award and recognition in the AAAI’24 New Faculty Highlights. He also regularly serves on conference organizing committees and journal editorial boards across computer science and interdisciplinary venues, including as Travel Award Chairfor AAAI'25, Volunteer Chair for WSDM’24, Associate Editor for ACM Computing Surveys, and Action Editor for Data Mining and Knowledge Discovery.