Optimized hybrid CNN-LSTM-GRU model for cyber attack detection using Adaptive Equilibrium Optimization

Modern network security has a great difficulty in cyber attack detection. In this context, this work presents an CNN-LSTM-GRU Model for cyber attack detection. AEO was used to maximize feature selection for the model, therefore lowering unnecessary data while maintaining important attack patterns. With 98% accuracy, the suggested model beats conventional GRU, LSTM, and RNN architectures according to experimental data. Computationally efficient for the proposed model achieves equivalent accuracy to the Transformer model with less number of FLOPs and parameters.

Authors

Institutions

Publication Details

Journal
ICT Express
Published
2025-10-15
DOI
https://doi.org/10.1016/j.icte.2025.09.006
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimized hybrid CNN-LSTM-GRU model for cyber attack detection using Adaptive Equilibrium Optimization

Shin‐Hung Pan, Akshat Gaurav, Wadee Alhalabi, Brij B. Gupta et al.
ICT Express
Network Security and Intrusion Detection
article

Optimized hybrid CNN-LSTM-GRU model for cyber attack detection using Adaptive Equilibrium Optimization

Shin‐Hung Pan, Akshat Gaurav, Wadee Alhalabi, Brij B. Gupta, Kwok Tai Chui, Varsha Arya
article en

Abstract

Modern network security has a great difficulty in cyber attack detection. In this context, this work presents an CNN-LSTM-GRU Model for cyber attack detection. AEO was used to maximize feature selection for the model, therefore lowering unnecessary data while maintaining important attack patterns. With 98% accuracy, the suggested model beats conventional GRU, LSTM, and RNN architectures according to experimental data. Computationally efficient for the proposed model achieves equivalent accuracy to the Transformer model with less number of FLOPs and parameters.

ICT ExpressVol. 12(2)
Chandigarh University (IN), Chaoyang University of Technology (TW), Asia University (TW), China Medical University (TW), King Abdulaziz University (SA), Korea University (KR), University of Johannesburg (ZA), Symbiosis International University (IN), China Medical University Hospital (TW), Ronin Institute (US), Metropolitan University (BD), University of Petroleum and Energy Studies (IN), Hong Kong Metropolitan University (HK)
Openalex Percentile: Top 66%
Network Security and Intrusion Detection
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Optimized hybrid CNN-LSTM-GRU model for cyber attack detection using Adaptive Equilibrium Optimization — Shin‐Hung Pan, Akshat Gaurav, et al. · ICT Express (2025) | TGRS Research Map | TGRS