Hybrid intellectual model and algorithms for detecting phishing attacks in information and communication systems

Jumaniyozov, Firuz, Kuchkarov, Taxir

Al-Farg'oniy avlodlari · 2026-yil

Annotatsiya

This article examines a hybrid model for detecting phishing attacks in information and communication systems by combining URL features, email text, behavioral signals, and local domain characteristics. The study treats phishing not only as fake-link detection, but as a multilayer cybersecurity problem involving language cues, user psychology, and network anomalies. Traditional machine learning, deep learning, CNN+BI-LSTM, stacking, and explainable AI methods were compared. Results show that a multi-source integrated model is more effective against smishing, zero-day domains, and messages generated with generative AI

Maqola ma’lumotlari
MualliflarJumaniyozov, Firuz, Kuchkarov, Taxir
JurnalAl-Farg'oniy avlodlari
NashriyotТАТУ Фарғона филиали
ISSN2181-4252
Nashr sanasi2026-04-28
Son2
Betlar9-14
TilIngliz
Ilmiy sohaTexnika
Indeksga qo‘shilgan2026-08-26

Maqolaning asl sahifasi

Kalit so‘zlar

ИКТ, кибербезопасность, фишинг, гибридная модель, CNN, Bi-LSTM, Random Forest, stacking, explainable AI, анализ URL, домен .uz, AKT, kiberxavfsizlik, fishing, gibrid, model, CNN, Bi-LSTM, Random Forest, stacking, explainable AI, URL tahlili, .uz domen, ICT, cybersecurity, phishing, hybrid model, CNN, Bi-LSTM, Random Forest, stacking, explainable AI, URL analysis, .uz domain

Ilmiy soha

Texnika

Iqtibos keltirish

APAJumaniyozov, Firuz, & Kuchkarov, Taxir (2026). HYBRID INTELLECTUAL MODEL AND ALGORITHMS FOR DETECTING PHISHING ATTACKS IN INFORMATION AND COMMUNICATION SYSTEMS. Al-Farg'oniy avlodlari, (2), 9-14. https://al-fargoniy.uz/index.php/journal/article/view/1105
GOST (OAK)Jumaniyozov, Firuz, Kuchkarov, Taxir HYBRID INTELLECTUAL MODEL AND ALGORITHMS FOR DETECTING PHISHING ATTACKS IN INFORMATION AND COMMUNICATION SYSTEMS // Al-Farg'oniy avlodlari. – 2026. – № 2. – P. 9-14.
MLAJumaniyozov, Firuz, and Kuchkarov, Taxir. “HYBRID INTELLECTUAL MODEL AND ALGORITHMS FOR DETECTING PHISHING ATTACKS IN INFORMATION AND COMMUNICATION SYSTEMS.” Al-Farg'oniy avlodlari, (2), 9-14, 2026. https://al-fargoniy.uz/index.php/journal/article/view/1105
ChicagoJumaniyozov, Firuz, and Kuchkarov, Taxir. “HYBRID INTELLECTUAL MODEL AND ALGORITHMS FOR DETECTING PHISHING ATTACKS IN INFORMATION AND COMMUNICATION SYSTEMS.” Al-Farg'oniy avlodlari, (2), 9-14 (2026). https://al-fargoniy.uz/index.php/journal/article/view/1105
HarvardJumaniyozov, Firuz, and Kuchkarov, Taxir (2026) ‘HYBRID INTELLECTUAL MODEL AND ALGORITHMS FOR DETECTING PHISHING ATTACKS IN INFORMATION AND COMMUNICATION SYSTEMS’, Al-Farg'oniy avlodlari, (2), 9-14. https://al-fargoniy.uz/index.php/journal/article/view/1105
BibTeX
@article{jumaniyozovfiruz2026,
  title = {HYBRID INTELLECTUAL MODEL AND ALGORITHMS FOR DETECTING PHISHING ATTACKS IN INFORMATION AND COMMUNICATION SYSTEMS},
  author = {Jumaniyozov, Firuz and Kuchkarov, Taxir},
  journal = {Al-Farg'oniy avlodlari},
  year = {2026},
  number = {2},
  pages = {9-14},
  url = {https://al-fargoniy.uz/index.php/journal/article/view/1105}
}

Boshqa maqola uchun iqtibos tayyorlash

Al-Farg'oniy avlodlari jurnalidan boshqa maqolalar

Al-Farg'oniy avlodlari — barcha maqolalar · 2026-yil arxivi

Texnika sohasidagi boshqa maqolalar

Texnika sohasidagi OAK jurnallari