Hands-on IoT Digital Forensics: Open-Source Tools, Techniques, and Case Studies - Weifeng Xu

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.