Innovative neural network strategies for detecting cheating in virtual exams

Abdullayev, Jasurbek, Ergashev , Otabek

Al-Farg'oniy avlodlari · 2025-yil

Annotatsiya

The rise of virtual exams has introduced new challenges in maintaining academic integrity, particularly in detecting collaborative cheating. In this study, we propose a novel framework that combines Graph Neural Networks (GNNs) with Federated Learning (FL) to detect collaborative cheating while preserving student privacy. Our approach models student interactions as a graph, where nodes represent students and edges represent potential cheating relationships. By training the GNN in a federated manner, we ensure that sensitive data remains on students' devices, addressing ethical and legal concerns.

Maqola ma’lumotlari
MualliflarAbdullayev, Jasurbek, Ergashev , Otabek
JurnalAl-Farg'oniy avlodlari
NashriyotТАТУ Фарғона филиали
ISSN2181-4252
Nashr sanasi2025-03-23
Son1
Betlar106-111
TilIngliz
Ilmiy sohaTexnika
Indeksga qo‘shilgan2026-08-26

Maqolaning asl sahifasi

Kalit so‘zlar

Графовые нейронные сети (GNN), федеративное обучение (FL), обнаружение группового мошенничества, защита конфиденциальности в ИИ, прокторинг виртуальных экзаменов, генерация синтетических данных, этичный ИИ в образовании, Graph Neural Networks (GNNs), Federated Learning (FL), Collaborative Cheating Detection, Privacy-Preserving AI, Virtual Exam Proctoring, Ethical AI in Education, Synthetic Data Generation, Graf neyron tarmoqlari (GNT), Federativ O‘qitish (FO’), Guruhiy aldashni aniqlash, Maxfiylikni saqlovchi sun’iy intellekt, Virtual imtihon nazorati, Ta’limda xulqiy va huquqiy sun’iy intellekt

Ilmiy soha

Texnika

Iqtibos keltirish

APAAbdullayev, Jasurbek, & Ergashev , Otabek (2025). INNOVATIVE NEURAL NETWORK STRATEGIES FOR DETECTING CHEATING IN VIRTUAL EXAMS. Al-Farg'oniy avlodlari, (1), 106-111. https://al-fargoniy.uz/index.php/journal/article/view/778
GOST (OAK)Abdullayev, Jasurbek, Ergashev , Otabek INNOVATIVE NEURAL NETWORK STRATEGIES FOR DETECTING CHEATING IN VIRTUAL EXAMS // Al-Farg'oniy avlodlari. – 2025. – № 1. – P. 106-111.
MLAAbdullayev, Jasurbek, and Ergashev , Otabek. “INNOVATIVE NEURAL NETWORK STRATEGIES FOR DETECTING CHEATING IN VIRTUAL EXAMS.” Al-Farg'oniy avlodlari, (1), 106-111, 2025. https://al-fargoniy.uz/index.php/journal/article/view/778
ChicagoAbdullayev, Jasurbek, and Ergashev , Otabek. “INNOVATIVE NEURAL NETWORK STRATEGIES FOR DETECTING CHEATING IN VIRTUAL EXAMS.” Al-Farg'oniy avlodlari, (1), 106-111 (2025). https://al-fargoniy.uz/index.php/journal/article/view/778
HarvardAbdullayev, Jasurbek, and Ergashev , Otabek (2025) ‘INNOVATIVE NEURAL NETWORK STRATEGIES FOR DETECTING CHEATING IN VIRTUAL EXAMS’, Al-Farg'oniy avlodlari, (1), 106-111. https://al-fargoniy.uz/index.php/journal/article/view/778
BibTeX
@article{abdullayevjasurbek2025,
  title = {INNOVATIVE NEURAL NETWORK STRATEGIES FOR DETECTING CHEATING IN VIRTUAL EXAMS},
  author = {Abdullayev, Jasurbek and Ergashev , Otabek},
  journal = {Al-Farg'oniy avlodlari},
  year = {2025},
  number = {1},
  pages = {106-111},
  url = {https://al-fargoniy.uz/index.php/journal/article/view/778}
}

Boshqa maqola uchun iqtibos tayyorlash

Al-Farg'oniy avlodlari jurnalidan boshqa maqolalar

Al-Farg'oniy avlodlari — barcha maqolalar · 2025-yil arxivi

Abdullayev, Jasurbek — boshqa maqolalari

Texnika sohasidagi boshqa maqolalar

Texnika sohasidagi OAK jurnallari