DEEPFAKE TEXNOLOGIYALARINING KIBERXAVFSIZLIKKA TAHDIDI

Авторы

  • Sh.Sh.Yuldasheva Toshkent Amaliy Fanlar Universiteti, “Kompyuter injiniringi” kafedrasi katta o‘qituvchisi Автор
  • Ruzibayev Eldorjon Toshkent amaliy fanlar universiteti Axborot texnalogiyalar fakulteti ( Axborot xavfsizligi ) yonalishi KAX 23-01guruh talabasi Автор

DOI:

https://doi.org/10.65164/9wtd9v38

Аннотация

XXI asr axborot texnologiyalarining keskin rivojlanishi bilan tavsiflanadigan murakkab davr sifatida namoyon bo‘lmoqda. Raqamli texnologiyalar insoniyat hayotining deyarli barcha sohalariga chuqur kirib borgani sari axborot almashinuvi tezligi ortib, virtual makon global kommunikatsiya maydoniga aylandi. Ayniqsa, sun’iy intellekt texnologiyalarining rivojlanishi multimedia mahsulotlarini yaratish jarayonini mutlaqo yangi bosqichga olib chiqdi. Biroq texnologik taraqqiyot bilan bir qatorda kiberxavfsizlikka oid yangi tahdidlar ham yuzaga kelmoqda. Ana shunday xavfli va murakkab texnologiyalardan biri deepfake texnologiyasi hisoblanadi.

Библиографические ссылки

1.

Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press.

2.

Chesney, R., & Citron, D. (2019). “Deep Fakes: A Looming Challenge for Privacy, Democracy, and National Security.” California Law Review.

3.

Mirsky, Y., & Lee, W. (2021). “The Creation and Detection of Deepfakes: A Survey.” ACM Computing Surveys.

4.

Kietzmann, J. et al. (2020). “Deepfakes: Trick or treat?” Business Horizons.

5.

Tolosana, R. et al. (2020). “DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection.” Information Fusion.

6.

Rossler, A. et al. (2019). “FaceForensics++: Learning to Detect Manipulated Facial Images.” IEEE/CVF International Conference on Computer Vision.

7.

Brown, T. et al. (2020). Language Models are Few-Shot Learners. OpenAI Research.

8.

Wang, S. et al. (2022). “A Survey on Deepfake Detection Techniques.” Pattern Recognition Letters.

9.

ITU (International Telecommunication Union). (2023). AI for Cybersecurity Report.

10.

ENISA (European Union Agency for Cybersecurity). (2022). Threat Landscape Report: Deepfakes and Synthetic Media.

Опубликован

2026-05-15