Novel methods for detecting anomalies in information communication systems

Jumayev, Sodiq, G‘ulomov , Sherzod

Al-Farg'oniy avlodlari · 2025-yil

Annotatsiya

As the complexity of ICS increases, security concerns also grow. Anomalies may indicate failures or cyberattacks, making early detection crucial. Traditional statistical and threshold-based methods are ineffective in dynamic ICS environments. ML- and DL-based methods, including support vector machines, autoencoders, and recurrent neural networks, improve accuracy and adaptability. However, they often require high computational resources. Transfer learning, federated learning, and XAI help overcome these limitations. This study analyzes and compares traditional and emerging approaches.

Maqola ma’lumotlari
MualliflarJumayev, Sodiq, G‘ulomov , Sherzod
JurnalAl-Farg'oniy avlodlari
NashriyotТАТУ Фарғона филиали
ISSN2181-4252
Nashr sanasi2025-03-23
Son1
Betlar92-99
TilIngliz
Ilmiy sohaTexnika
Indeksga qo‘shilgan2026-08-26

Maqolaning asl sahifasi

Kalit so‘zlar

Обнаружение аномалий, информационно-коммуникационные системы, машинное обучение, глубокое обучение, гибридные модели, трансферное обучение, федеративное обучение, объяснимый ИИ, мониторинг в реальном времени, кибербезопасность, Anomaly detection, information communication systems, machine learning, deep learning, hybrid models, transfer learning, federated learning, explainable AI, real-time monitoring, cybersecurity., Anomaly detection, information communication systems, machine learning, deep learning, hybrid models, transfer learning, federated learning, explainable AI, real-time monitoring, cybersecurity

Ilmiy soha

Texnika

Iqtibos keltirish

APAJumayev, Sodiq, & G‘ulomov , Sherzod (2025). NOVEL METHODS FOR DETECTING ANOMALIES IN INFORMATION COMMUNICATION SYSTEMS. Al-Farg'oniy avlodlari, (1), 92-99. https://al-fargoniy.uz/index.php/journal/article/view/787
GOST (OAK)Jumayev, Sodiq, G‘ulomov , Sherzod NOVEL METHODS FOR DETECTING ANOMALIES IN INFORMATION COMMUNICATION SYSTEMS // Al-Farg'oniy avlodlari. – 2025. – № 1. – P. 92-99.
MLAJumayev, Sodiq, and G‘ulomov , Sherzod. “NOVEL METHODS FOR DETECTING ANOMALIES IN INFORMATION COMMUNICATION SYSTEMS.” Al-Farg'oniy avlodlari, (1), 92-99, 2025. https://al-fargoniy.uz/index.php/journal/article/view/787
ChicagoJumayev, Sodiq, and G‘ulomov , Sherzod. “NOVEL METHODS FOR DETECTING ANOMALIES IN INFORMATION COMMUNICATION SYSTEMS.” Al-Farg'oniy avlodlari, (1), 92-99 (2025). https://al-fargoniy.uz/index.php/journal/article/view/787
HarvardJumayev, Sodiq, and G‘ulomov , Sherzod (2025) ‘NOVEL METHODS FOR DETECTING ANOMALIES IN INFORMATION COMMUNICATION SYSTEMS’, Al-Farg'oniy avlodlari, (1), 92-99. https://al-fargoniy.uz/index.php/journal/article/view/787
BibTeX
@article{jumayevsodiq2025,
  title = {NOVEL METHODS FOR DETECTING ANOMALIES IN INFORMATION COMMUNICATION SYSTEMS},
  author = {Jumayev, Sodiq and G‘ulomov , Sherzod},
  journal = {Al-Farg'oniy avlodlari},
  year = {2025},
  number = {1},
  pages = {92-99},
  url = {https://al-fargoniy.uz/index.php/journal/article/view/787}
}

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