IOT QURILMALARIDA RAQAMLI DALILLARNI ANIQLASH VA EKSPERTIZA JARAYONINING O‘ZIGA XOS XUSUSIYATLARI
Main Article Content
Аннотация:
Ushbu maqolada IoT (Internet of Things) qurilmalarida mavjud bo‘lgan raqamli dalillarni aniqlash, yig‘ish, saqlash va tahlil qilish jarayonining o‘ziga xos xususiyatlari yoritilgan. IoT qurilmalarining texnik arxitekturasi, tarmoq orqali ishlash mexanizmi va bulutli muhit bilan integratsiyasi sababli dalillarni aniqlash va mustahkamlash jarayoni an’anaviy raqamli ekspertizadan farq qiladi. Maqolada IoT ekspertizasida uchraydigan muammolar, xesh qiymatlar orqali dalil yaxlitligini ta’minlash, tezkor xotira va log fayllarni tahlil qilish masalalari ko‘rib chiqiladi. Shuningdek, IoT qurilmalariga nisbatan ekspertiza tayinlashning protsessual jihatlari va amaliy tavsiyalar bayon etiladi
Article Details
Как цитировать:
Библиографические ссылки:
Ahmed A. A., Farhan K., Jabbar W. A., Al-Othmani A., Abdulrahman A. G. IoT Forensics: Current Perspectives and Future Directions. Sensors. 2024 Aug. mdpi.com
Soni N. IoT forensics: Challenges, methodologies, and future directions in securing the Internet of Things ecosystem. Computer and Telecommunication Engineering. 2024.
Comparative study of IoT forensic frameworks. Forensic Science International: Digital Investigation. 2024 sciencedirect.com
Mohamed H., Koroniotis N., Moustafa N., Schiliro F., Zomaya A. Y. Harnessing Federated Learning for Digital Forensics in IoT: A Survey and Introduction to the IoT-LF Framework. IEEE Open Journal of the Communications Society. 2024
Alazab, A., Khraisat, A., & Singh, S. (2023). A review on the Internet of Things (IoT) forensics: Challenges, techniques, and evaluation of digital forensic tools. IntechOpen. https://doi.org/10.5772/intechopen.109840
Shin, D.-H., Han, S.-J., Kim, Y.-B., & Euom, I.-C. (2024). Research on digital forensics analyzing heterogeneous Internet of Things incident investigations. Applied Sciences, 14(3), 1128. https://doi.org/10.3390/app14031128
Soni, N. (2024). IoT forensics: Challenges, methodologies, and future directions in securing the Internet of Things ecosystem. Computer and Telecommunication Engineering, 2(4), 3070. https://doi.org/10.54517/cte3070
Sayakkara, A., Le-Khac, N.-A., & Scanlon, M. (2019). Leveraging electromagnetic side-channel analysis for the investigation of IoT devices. arXiv preprint. https://doi.org/10.48550/arXiv.1904.02089
Mahmood, H., Arshad, M., Ahmed, I., Fatima, S., & Rehman, H. (2024). Comparative study of IoT forensic frameworks. Forensic Science International: Digital Investigation. https://doi.org/10.1016/j.fsidi.2024.301748
