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Forensic Analysis for Cybersecurity of Smart Home Environments with Smart Wallpadsoa mark
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Publication Year
2024-07-01
Publisher
Multidisciplinary Digital Publishing Institute (MDPI)
Citation
Electronics (Switzerland), Vol.13
Keyword
digital forensicIoTsmart homesmart home forensics
All Science Classification Codes (ASJC)
Control and Systems EngineeringSignal ProcessingHardware and ArchitectureComputer Networks and CommunicationsElectrical and Electronic Engineering
Abstract
Various smart home companies are adding displays to smart home control devices and are also releasing smart home control functions for devices with displays. Since smart home management devices with displays are multifunctional, they can store more digital evidence than traditional management devices. Therefore, we propose a smart home environment forensic methodology focused on wallpads, which are smart home management devices with displays. And we validate the proposed methodology by building a smart home environment centered around wallpads and conducting tests with three vendors (Samsung, Kocom, and Commax). Following the proposed methodology, we identified the software and hardware specifications of devices within the testbed, particularly the wallpads. Based on this, we were able to extract network packets, disk images, and individual files stored internally using methods such as packet capture, vulnerability exploits, serial ports, and chip-off. Through analysis, we confirmed that significant user-related information and videos are stored in these control devices. The digital evidence obtained through the proposed methodology can be used as critical legal evidence, and this study contributes to efficiently analyzing important security issues and evidential data in various smart home IoT environments.
ISSN
2079-9292
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/34349
DOI
https://doi.org/10.3390/electronics13142827
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Type
Article
Funding
This work was supported by the Institute of Information & Communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (MIST) (No.2022-0-01022, Development of Collection and Integrated Analysis Methods of Automotive Inter/Intra System Artifacts through Construction of Event-based Experimental System).
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SHON, TAE SHIK Image
SHON, TAE SHIK손태식
Department of Cyber Security
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