INVESTIGASI DIGITAL FORENSIK PADA PERANGKAT IOT DALAM SISTEM RUMAH PINTAR (SMART HOME) MENGGUNAKAN FRAMEWORK APPLICATION SPECIFIC INVESTIGATION MODEL (FASIM)
Bahasa Indonesia
DOI:
https://doi.org/10.31848/justise.v2i2.3592Keywords:
Internet of Things, Smart Home, Digital ForensicsAbstract
The rapid development of the Internet of Things (IoT) presents new opportunities and challenges in cybersecurity, particularly in smart home systems. This study aims to investigate the security and privacy of IoT devices in smart home environments using the Application Specific Investigation Model (FASIM) framework. The research focuses on the processes of acquisition, analysis, and reporting of digital evidence from IoT devices such as light controllers, security cameras, temperature controllers, and door locks. The methods include identifying IoT devices, analyzing data using tools such as Hercules, WireShark, FFMPEG, and Fing, as well as utilizing MD5 hashing to ensure data integrity. The findings reveal that IoT devices in smart home systems can provide valid digital traces that can be further processed in digital forensic investigations. This study is expected to contribute significantly to enhancing the security and privacy of smart home systems and serve as a foundation for future research on digital forensic investigations of IoT devices.
Keywords: Internet of Things, Smart Home, Digital Forensics.
References
M. Cook, Smart Home Automation: A Practical Guide. 2021.
A. McEwen, Internet of Things: A Hands-On Approach. 2021.
J. C. Ryan, The Complete Guide to Heating and Cooling Your Home. 2021.
Madijono, The Concept of Investigation in Criminal Law: An Indonesian Perspective. 2018.
A. Chakraborty, “Journal of Electrical and Computer Engineering,” 2023.
I. Wahyudi and I. A. Rafiq, “Forensic Mobile Analysis on Social Media Using National Institute Standard of Technology Method,” International Journal of Safety & Security Engineering, vol. 12, no. 6, pp. xx–xx, 2022.
L. S. Vailshery, “Jumlah perangkat yang terhubung dengan IoT di seluruh dunia pada tahun 2019–2023, dengan perkiraan hingga tahun 2030,” Statista, 2024.
R. P. Sari, “Mengenal IoT Hacking dan Cara Pencegahannya,” Cloud Computing Indonesia, 2024.
Hossain, “Analysis of Internet of Things (IoT) Security: Principles, Practices, and New Perspectives,” 2024.
K. K. Sindhu, “Digital Forensic Investigation Tools and Procedures,” International Journal of Computer Network and Information Security, vol. 4, no. 4, pp. 39–48, 2012.
F. Servida, “IoT Forensic Challenges and Opportunities for Digital Traces,” 2019.
S. Zawoad and R. Hasan, “FAIoT: Towards Building a Forensics Aware Ecosystem for the Internet of Things,” in Proc. 2015 IEEE International Conference on Services Computing (SCC), 2015, pp. 279–284.
S. Perumal, N. M. Norwawi, and V. Raman, “Internet of Things (IoT) Digital Forensic Investigation Model: Top-Down Forensic Approach Methodology,” in Proc. 2015 5th International Conference on Digital Information Processing and Communications (ICDIPC), 2015, pp. 19–23.
N. H. N. Zulkipli, A. Alenezi, and G. B. Wills, “IoT Forensic: Bridging the Challenges in Digital Forensic and the Internet of Things,” in Proceedings of the International Conference on Internet of Things, Big Data and Security (IoTBDS), 2017, pp. 315–324.
T. Wu, “Digital Forensic Investigation of IoT Devices: Tools and Methods,” M.S. thesis, 2020.
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