Digital Forensic Analysis of Intelligent and Smart IoT Devices

Jul 17, 2026

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Smart IoT combines artificial intelligence with connected devices and is commonly operated through wearable endpoints such as smartwatches and smartbands. These wearables collect user and environmental data via sensors and store generated information locally, enabling evidence gathering in criminal investigations. The work presents a forensic model that uses direct connections through wireless or interfaces for wearables, organizing methods into logical and physical forensic procedures. The model is validated on Samsung, Apple, and Garmin wearables, producing forensic artifacts suitable for investigation.

LanguageEnglish

CategoryResearch & Report

FormatPDF

Pages25

Reading Time1 h 3 min

Digital forensic analysis of intelligent and smart IoT devices Minju Kim1 · Yeonghun Shin1 · Wooyeon Jo2 · Taeshik Shon1,3 Accepted: 30 May 2022 / Published online: 20 July 2022 © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 Abstract AI is combined with various devices to provide improved performance. IoT devices combined with AI are called smart IoT. Smart IoT devices can be controlled using wearable devices. Wearable devices such as smartwatches and smartbands generate personal information through sensors to provide a range of services to users. As the generated data are preserved in the storage of the wearable device, getting access to these data from the device can prove useful in criminal investigations. We, therefore, propose a forensic model based on direct connections using wireless or interfaces beyond indirect forensics for wearable devices. The forensic model was derived based on the ecosystem of wearable devices and was divided into logical and physical forensic methods. To confirm the applicability of the forensic model, we applied it to wearable devices from Samsung, Apple, and Garmin. Our results demonstrate that the proposed forensic model can be successfully used to derive artifacts. Keywords Digital forensics · Wearable ecosystem · Smartwatch · Smartband 1 Introduction With the development of new technologies, existing technologies were combined with new technologies and developed into other new technologies. The emergence of new technologies has led to the development of various security technologies [1–4] . One of the most used new technologies is artificial intelligence. Artificial intelligence is combined with various devices to provide improved performance The datasets generated during and/or analysed during the current study are not available due to the privacy, so data sharing is not applicable. * Taeshik Shon [tsshon@ajou.ac.kr](tsshon@ajou.ac.kr) 1 Department of AI Convergence network, Ajou University, Suwon, Korea 2 Department of Computer Engineering, Ajou University, Suwon, Korea 3 Department of Cyber Security, Ajou University, Suwon, Korea and customized services [5] . Various devices such as refrigerators, air conditioners, and surveillance systems have been combined with AI [6] . Devices combined with AI are also called smart IoT. Smart IoT devices can be controlled using wearable devices. A wearable device may be used to control the temperature of the air conditioner or to turn on/off a light switch. Not only that, it can send notifications to the wearable device when an intrusion into the surveillance system is detected. Wearable devices, such as smartwatches and smartbands, are worn close to and/or on the body to collect information about the environment around the user and body changes using sensors. Wearable devices not only provide healthrelated data such as heart rate and physical activity, but also notification servi

Jul 17, 2026

Upload by Aurelia