Improving methods for detecting and preventing cyberattacks in computer networks

Babakulov , Bekzod

Innovation science and technologiy · 2026-yil

Annotatsiya

This study develops an adaptive hybrid framework for detecting and preventing cyberattacks in computernetworks. The framework combines signature matching, supervised classification, unsupervised anomaly detection, behavioralcorrelation, asset context, and a safeguarded response policy. Its purpose is to preserve reliable detection when legitimate trafficchanges and when previously unseen attacks do not match existing rules. A design-science methodology was used together witha controlled streaming emulation containing 120,000 training flows and 120,000 test flows distributed across baseline, benigndrift,and mixed zero-day-like windows. In the emulation, the proposed method achieved 98.94% accuracy, 98.31% precision,97.39% recall, a 97.85% F1-score, and a 0.55% false-positive rate. The strongest advantage appeared in the mixed/zero-daywindow, where its F1-score reached 94.83%, compared with 73.90% for a static Random Forest and 57.26% for signature-onlydetection. The results support a practical conclusion: prevention should be separated from detection and activated graduallythrough logging, alerting, rate limiting, session interruption, and isolation, with higher-impact actions requiring corroborationand rollback.

Maqola ma’lumotlari
MualliflarBabakulov , Bekzod
JurnalInnovation science and technologiy
NashriyotТошкент давлат иқтисодиёт университети
Nashr sanasi2026-07-01
Jild2
Son7
Betlar246-255
TilIngliz
Ilmiy sohaTexnika
DOI10.5281/zenodo.21801202
Indeksga qo‘shilgan2026-08-26

DOI: 10.5281/zenodo.21801202 · Maqolaning asl sahifasi

Kalit so‘zlar

network intrusion detection; intrusion prevention; concept drift; Random Forest; Isolation Forest; behavioral analytics; zero-day attack; adaptive threshold; cyber resilience

Ilmiy soha

Texnika

Iqtibos keltirish

APABabakulov , Bekzod (2026). IMPROVING METHODS FOR DETECTING AND PREVENTING CYBERATTACKS IN COMPUTER NETWORKS. Innovation science and technologiy, 2(7), 246-255. https://doi.org/10.5281/zenodo.21801202
GOST (OAK)Babakulov , Bekzod IMPROVING METHODS FOR DETECTING AND PREVENTING CYBERATTACKS IN COMPUTER NETWORKS // Innovation science and technologiy. – 2026. – T. 2, № 7. – P. 246-255. – DOI: 10.5281/zenodo.21801202.
MLABabakulov , Bekzod. “IMPROVING METHODS FOR DETECTING AND PREVENTING CYBERATTACKS IN COMPUTER NETWORKS.” Innovation science and technologiy, 2(7), 246-255, 2026. https://doi.org/10.5281/zenodo.21801202
ChicagoBabakulov , Bekzod. “IMPROVING METHODS FOR DETECTING AND PREVENTING CYBERATTACKS IN COMPUTER NETWORKS.” Innovation science and technologiy, 2(7), 246-255 (2026). https://doi.org/10.5281/zenodo.21801202
HarvardBabakulov , Bekzod (2026) ‘IMPROVING METHODS FOR DETECTING AND PREVENTING CYBERATTACKS IN COMPUTER NETWORKS’, Innovation science and technologiy, 2(7), 246-255. https://doi.org/10.5281/zenodo.21801202
BibTeX
@article{babakulovbekzod2026,
  title = {IMPROVING METHODS FOR DETECTING AND PREVENTING CYBERATTACKS IN COMPUTER NETWORKS},
  author = {Babakulov , Bekzod},
  journal = {Innovation science and technologiy},
  year = {2026},
  volume = {2},
  number = {7},
  pages = {246-255},
  doi = {10.5281/zenodo.21801202},
  url = {https://doi.org/10.5281/zenodo.21801202}
}

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