Forensic analysis of the Xiaomi Mi Smart Sensor Set

Gómez, Juan Manuel Castelo; Carrillo-Mondéjar, Javier; Martínez, José Luis; Navarro, Jorge

doi:10.1016/j.fsidi.2022.301451

Cited by 8 publications

(3 citation statements)

References 6 publications

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“…Accordingly, various forensic analysis studies have been conducted on IoT devices and smartphones. Gómez, Juan Manuel Castelo et al conducted a forensic study on smart home kits consisting of smart home devices such as hubs and sensors [15]. They attempted to acquire data from Xiaomi Mi smart sensor sets and linked smartphones and acquired some smart home artifacts from smartphone applications.…”

Section: Related Workmentioning

confidence: 99%

A Common Architecture-based Smart Home Hardware Forensics for Scalable Investigations

Kim,

Lee,

Song

et al. 2024

Preprint

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The smart home platform communicates with internet of things(IoT) devices, smartphones, and cloud servers to provide convenient services, storing user information and device operation and user behavior-related data. This data is crucial for criminal investigations, highlighting the importance of smart home forensics. Currently, advanced software and hardware technologies continue to be developed in the smart home market, and based on this, companies are releasing new services and devices. Therefore, scalable platform-oriented forensic research is needed for efficient digital investigation. This study identifies the components and structures of smart homes to derive a common architecture representing various environments. It proposes a three-stage smart home forensics framework: analyzing application functions to infer data, extracting and analyzing data from devices, and identifying data useful for criminal investigations. Its applicability is demonstrated with Samsung SmartThings and Xiaomi Mi Home platform testbeds.

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Section: Related Workmentioning

confidence: 99%

A Common Architecture-based Smart Home Hardware Forensics for Scalable Investigations

Kim,

Lee,

Song

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…(1) non-volatile memory, (2) volatile memory, and (3) network traffic [11]. However, data acquisition was limited when the latest firmware was installed.…”

Section: Related Workmentioning

confidence: 99%

Digital Forensics for E-IoT Devices in Smart Cities

Kim

Shon

2023

Electronics

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With the global expansion of urban infrastructure and development of 5G communication technology, advanced information and communications technology has been applied to power systems and the use of smart grids has increased. Smart grid systems collect energy data using Internet-of-Things (IoT) devices, such as data concentrator units (DCUs) and smart meters, to effectively manage energy. Services and functions for energy management are being incorporated into home IoT devices. In this paper, the IoT for energy management in smart cities and smart homes is referred to as the E-IoT. Systems that use the E-IoT can efficiently manage data, but they present many potential security threats, because the E-IoT devices in such homes and enterprises are networked for energy management. Therefore, in this study, to identify vulnerabilities in the E-IoT device systems, digital forensics is applied to the E-IoT device systems. E-IoT devices supplied to Korean power systems were used to build a digital forensic test bed similar to actual E-IoT environments. For digital forensics application, E-IoT data acquisition and analysis methodology was proposed. The proposed methodology consisted of three methods—network packet data analysis, hardware interface analysis, and mobile device paired with E-IoT—which were applied to a DCU, smart meter, smart plug, smart heat controller, smart microwave, and smart monitoring system. On analyzing the user and system data acquired, artifacts such as the device name and energy consumption were derived. User accounts and passwords and energy-usage logs were obtained, indicating the possibility of leakage of personal information and the vulnerabilities of E-IoT devices.

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“…In addition, research on data acquisition was conducted on Xiaomi Mi Smart Sensor, but not much on the file system stage [32]. It was a study on data recovery through the analysis of Google home and the analysis of SquashFS, a file system, and had a similar purpose to this paper.…”

Section: Related Workmentioning

confidence: 99%

Forensic Analysis of IoT File Systems for Linux-Compatible Platforms

Lee

Shon

2022

Electronics

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Due to recent developments in IT technology, various IoT devices have been developed for use in various environments, such as card smart TVs, and smartphones Communication between IoT devices has become possible. Various IoT devices are found in homes and in daily life, and IoT technologies are being combined with vehicles, power, and wearables, amongst others. Although the usage of IoT devices has increased, the level of security technology applied to IoT devices is still insufficient. There is sensitive information stored inside IoT devices, such as personal information and usage history, so if security accidents happen, such as data leakage, it can be very damaging for users. Since research on data storage and acquisition in IoT devices is very important, in this paper we conducted a security analysis, from a forensic perspective, on IoT platform file systems used in various environments. The analysis was conducted on two mechanical platforms: Tizen (VDFS) and Linux (JFFS2 and UBIFS). Through file system metadata analysis, file system type, size, list of files and folders, deleted file information were obtained so that we could analyze file system structure with the obtained information. We also used the obtained information to check the recoverability of deleted data to investigate the recovery plan. In this study, we explain the characteristics of platforms used in various environments, and the characteristics of data stored in each platform. By analyzing the security issues of data stored during platform communications, we aimed to help in solving the problems affecting devices. In addition, we explain the analysis method for file system forensics so that it can be referred to in other platform forensics.

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Forensic analysis of the Xiaomi Mi Smart Sensor Set

Cited by 8 publications

References 6 publications

A Common Architecture-based Smart Home Hardware Forensics for Scalable Investigations

A Common Architecture-based Smart Home Hardware Forensics for Scalable Investigations

Digital Forensics for E-IoT Devices in Smart Cities

Forensic Analysis of IoT File Systems for Linux-Compatible Platforms

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