Ijtimoiy muhandislik hujumlarini aniqlash va ularga Qarshi kurashishning innovatsion intellektual usullari va algoritmlarini ishlab chiqish

Eshmurodov Alisher Akrom oʻgʻli

Marketing · 2026-yil

Annotatsiya

The article proposes a five-stage dialogue-level model for detecting social engineering attacks carried out through e-mail, SMS, messengers and voice calls. It was shown that existing tools analyse messages separately and therefore detect attacks that unfold as a multi-stage conversation too late. The model combines semantic features from a multilingual transformer, psychological persuasion principles and contextual features in a GRU layer, updates a risk score on a 0-100 scale after each new turn and warns the user before a harmful action occurs. Depending on the risk score, the conversation is passed, the user is warned or the conversation is blocked. Federated learning was used to train the model without centralising the confidential data of banks and mobile operators, and the SHAP method was used to produce understandable alerts. Proposals were made on organisational and technical countermeasures, evaluation of early detection performance and pilot testing at banks and operators.

Maqola ma’lumotlari
MualliflarEshmurodov Alisher Akrom oʻgʻli
JurnalMarketing
NashriyotТошкент давлат иқтисодиёт университети
ISSN3060-4621
Nashr sanasi2026-09-25
Betlar287-292
TilO‘zbek
Ilmiy sohaIqtisodiyot
DOI10.67668/mj/2026issmaxsus/2194
Indeksga qo‘shilgan2026-10-18

DOI: 10.67668/mj/2026issmaxsus/2194 · Maqolaning asl sahifasi

Kalit so‘zlar

ijtimoiy muhandislik, dialog darajasida aniqlash, erta ogohlantirish, koʻp tilli transformer modellar, psixologik taʼsir tamoyillari, federativ oʻqitish, tushuntiriladigan sunʼiy intellekt, oʻzbek tili, социальная инженерия, обнаружение на уровне диалога, раннее предупреждение, многоязычные трансформеры, принципы убеждения, федеративное обучение, объяснимый искусственный интеллект, узбекский язык, Social Engineering, Dialogue-level Detection, Early Warning, Multilingual Transformers, Persuasion Principles, Federated Learning, Explainable AI, Uzbek Language

Ilmiy soha

Iqtisodiyot

Iqtibos keltirish

APAEshmurodov Alisher Akrom oʻgʻli (2026). IJTIMOIY MUHANDISLIK HUJUMLARINI ANIQLASH VA ULARGA QARSHI KURASHISHNING INNOVATSION INTELLEKTUAL USULLARI VA ALGORITMLARINI ISHLAB CHIQISH. Marketing, 287-292. https://doi.org/10.67668/mj/2026issmaxsus/2194
GOST (OAK)Eshmurodov Alisher Akrom oʻgʻli IJTIMOIY MUHANDISLIK HUJUMLARINI ANIQLASH VA ULARGA QARSHI KURASHISHNING INNOVATSION INTELLEKTUAL USULLARI VA ALGORITMLARINI ISHLAB CHIQISH // Marketing. – 2026. – B. 287-292. – DOI: 10.67668/mj/2026issmaxsus/2194.
MLAEshmurodov Alisher Akrom oʻgʻli. “IJTIMOIY MUHANDISLIK HUJUMLARINI ANIQLASH VA ULARGA QARSHI KURASHISHNING INNOVATSION INTELLEKTUAL USULLARI VA ALGORITMLARINI ISHLAB CHIQISH.” Marketing, 287-292, 2026. https://doi.org/10.67668/mj/2026issmaxsus/2194
ChicagoEshmurodov Alisher Akrom oʻgʻli. “IJTIMOIY MUHANDISLIK HUJUMLARINI ANIQLASH VA ULARGA QARSHI KURASHISHNING INNOVATSION INTELLEKTUAL USULLARI VA ALGORITMLARINI ISHLAB CHIQISH.” Marketing, 287-292 (2026). https://doi.org/10.67668/mj/2026issmaxsus/2194
HarvardEshmurodov Alisher Akrom oʻgʻli (2026) ‘IJTIMOIY MUHANDISLIK HUJUMLARINI ANIQLASH VA ULARGA QARSHI KURASHISHNING INNOVATSION INTELLEKTUAL USULLARI VA ALGORITMLARINI ISHLAB CHIQISH’, Marketing, 287-292. https://doi.org/10.67668/mj/2026issmaxsus/2194
BibTeX
@article{eshmurodovalisherakromogli2026,
  title = {IJTIMOIY MUHANDISLIK HUJUMLARINI ANIQLASH VA ULARGA QARSHI KURASHISHNING INNOVATSION INTELLEKTUAL USULLARI VA ALGORITMLARINI ISHLAB CHIQISH},
  author = {Eshmurodov Alisher Akrom oʻgʻli},
  journal = {Marketing},
  year = {2026},
  pages = {287-292},
  doi = {10.67668/mj/2026issmaxsus/2194},
  url = {https://doi.org/10.67668/mj/2026issmaxsus/2194}
}

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