Increasing network security using an enhanced hybrid deep intrusion detection model

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 Electronic Security and Digital Forensics
Published
2024-10-24
DOI
https://doi.org/10.1504/ijesdf.2026.10067347
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Increasing network security using an enhanced hybrid deep intrusion detection model

Jiacheng Wu, Juan Li, Tingting Jiang, Wujun Mei
International Journal of Electronic Security and Digital Forensics
Network Security and Intrusion Detection
article

Increasing network security using an enhanced hybrid deep intrusion detection model

Jiacheng Wu, Juan Li, Tingting Jiang, Wujun Mei
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 Electronic Security and Digital ForensicsVol. 1(1)
Openalex Percentile: Top 79%
Network Security and Intrusion Detection
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