Digital Forensic Analysis to Improve User Privacy on Android

Kim, Hyungchan; Shin, Yeonghun; Kim, Sung-Bum; Jo, Wooyeon; Kim, Min-Ju; Shon, Taeshik

doi:10.3390/s22113971

Cited by 8 publications

(2 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Administrator rights on the mobile device must be obtained to access the user data partition. In this study, the user data partition of the mobile device was dumped, but the image was encrypted, and thus, the dump image was decrypted by referring to Kim's research [27]. Kim introduced a method of decoding the full disk encryption used in Android 10 and analyzing the ext4 file system.…”

Section: Mobile Device Paired With E-iot Devicesmentioning

confidence: 99%

Digital Forensics for E-IoT Devices in Smart Cities

Kim

Shon

2023

Electronics

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Section: Mobile Device Paired With E-iot Devicesmentioning

confidence: 99%

Digital Forensics for E-IoT Devices in Smart Cities

Kim

Shon

2023

Electronics

Self Cite

View full text Add to dashboard Cite

show abstract

“…In 2022, Android smartphones were analyzed in terms of the recovery and exportation of deleted data and a file recovery of the ext file systems [30]. In this study, forensics was conducted through metadata analysis of the file system used in Android smartphones.…”

Section: Related Workmentioning

confidence: 99%

Forensic Analysis of IoT File Systems for Linux-Compatible Platforms

Lee

Shon

2022

Electronics

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Towards a practical usage for the Sleuth Kit supporting file system add-ons

Shin,

Shon

2024

Forensic Science International: Digital Investigation

View full text Add to dashboard Cite

Digital Forensic Analysis to Improve User Privacy on Android

Cited by 8 publications

References 21 publications

Digital Forensics for E-IoT Devices in Smart Cities

Digital Forensics for E-IoT Devices in Smart Cities

Forensic Analysis of IoT File Systems for Linux-Compatible Platforms

Towards a practical usage for the Sleuth Kit supporting file system add-ons

Contact Info

Product

Resources

About