SMART TV FORENSICS: A NON-INVASIVE ANALYSIS OF SAMSUNG DEVICES WITH TIZEN 6.0
Öz
In this study, forensic analysis was performed on a Samsung smart TV with Tizen 6.0 operating system. The main purpose is to collect digital evidence from the smart TV and to explain the methods of obtaining forensic copies. Tools such as Smart Development Bridge (SDB), FTK Imager, SQLite browser, Dcode and Magnet Axiom were used in the analysis process. With this method, which does not require root access, important data was obtained by using the SDB backup feature in developer mode. The collected data includes internet history, TV and application usage data, account information, USB connections and wireless network information. The study presents a model for the forensic analysis procedure for smart TVs and contributes to the research in this field.
Anahtar Kelimeler
Teşekkür
Kaynakça
- REFERENCES
- Boztas, A., Riethoven, A. R. J., & Roeloffs, M. (2015). Smart TV forensics: Digital traces on televisions. Digital Investigation, 12, S72–S80. https://doi.org/10.1016/J.DIIN.2015.01.012
- Britannica. (2023). Television | Britannica. https://www.britannica.com/technology/television-technology.
- Dataxis. (2022). https://dataxis.com/researches-highlights/417144/2022-a-decisive-year-in-the-ever-changing-smart-tv-os-market/
- Dudekula, K. V., Syed, H., Basha, M. I. M., Swamykan, S. I., Kasaraneni, P. P., Kumar, Y. V. P., Flah, A., & Azar, A. T. (2023). Convolutional Neural Network-Based Personalized Program Recommendation System for Smart Television Users. Sustainability 2023, Vol. 15, Page 2206, 15(3), 2206. https://doi.org/10.3390/SU15032206.
- Easttom. (2021). https://books.google.com.tr/books? hl=en&lr=&id=BpgjEAAAQBAJ&oi=fnd&pg=PA65&dq=Easttom+smart+tv&ots=tJ760lHBkE&sig=aHyWTzvvJoglGEMHAfk1DE4xbOM&redir_esc=y#v=onepage&q=Easttom%20smart%20tv&f=false
- Jalal, L., Anedda, M., Popescu, V., & Murroni, M. (2018). Internet of Things for Enabling Multi Sensorial TV in Smart Home. 2018 IEEE Broadcast Symposium, BTS 2018. https://doi.org/10.1109/BTS.2018.8550959
- J.Gn.K.lığı. (2023). Jandarma-Genel-Komutanlıgı-2023-Yılı-Faaliyet-Raporu.
Ayrıntılar
Birincil Dil
İngilizce
Konular
Adli Bilişim, Dijital Adli Tıp
Bölüm
Araştırma Makalesi
Yazarlar
Sedat Şen
*
0000-0001-6322-5483
Türkiye
Yayımlanma Tarihi
22 Mayıs 2026
Gönderilme Tarihi
1 Şubat 2025
Kabul Tarihi
20 Mayıs 2026
Yayımlandığı Sayı
Yıl 2026 Cilt: 15 Sayı: 1