DIGNN-A: Real-Time Network Intrusion Detection with Integrated Neural Networks Based on Dynamic Graph

The increasing popularity of the Internet and the widespread use of information technology have led to a rise in the number and sophistication of network attacks and security threats. Intrusion detection systems are crucial t... | Find, read and cite all the research you need on Tech Science Press

Authors

Publication Details

Journal
Computers, materials & continua/Computers, materials & continua (Print)
Published
2024-11-13
DOI
https://doi.org/10.32604/cmc.2024.057660
Citations
7
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
2.44
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article

DIGNN-A: Real-Time Network Intrusion Detection with Integrated Neural Networks Based on Dynamic Graph

Minghao Guo, Jizhao Liu
7 citations
Computers, materials & continua/Computers, materials & continua (Print)
Network Security and Intrusion Detection
2.44
article

DIGNN-A: Real-Time Network Intrusion Detection with Integrated Neural Networks Based on Dynamic Graph

Minghao Guo, Jizhao Liu
article en
7 citations

Abstract

The increasing popularity of the Internet and the widespread use of information technology have led to a rise in the number and sophistication of network attacks and security threats. Intrusion detection systems are crucial t... | Find, read and cite all the research you need on Tech Science Press

Computers, materials & continua/Computers, materials & continua (Print)Vol. 82(1)
Openalex Percentile: Top 10%
Network Security and Intrusion Detection
2.44
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DIGNN-A: Real-Time Network Intrusion Detection with Integrated Neural Networks Based on Dynamic Graph — Minghao Guo, Jizhao Liu · Computers, materials & continua/Computers, materials & continua (Print) (2024) | TGRS Research Map | TGRS