Precise Detection of Network Anomaly Traffic Based on Stacked Convolutional Attention

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

Authors

Publication Details

Journal
International Journal of Web Engineering and Technology
Published
2026-06-09
DOI
https://doi.org/10.1504/ijwet.2027.10079068
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Precise Detection of Network Anomaly Traffic Based on Stacked Convolutional Attention

Xinghua Lu, Rongping Wang
International Journal of Web Engineering and Technology
Network Security and Intrusion Detection
article

Precise Detection of Network Anomaly Traffic Based on Stacked Convolutional Attention

Xinghua Lu, Rongping Wang
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Web Engineering and TechnologyVol. 22(3)
Openalex Percentile: Top 4%
Network Security and Intrusion Detection
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Precise Detection of Network Anomaly Traffic Based on Stacked Convolutional Attention — Xinghua Lu, Rongping Wang · International Journal of Web Engineering and Technology (2026) | TGRS Research Map | TGRS