Enhancing Intrusion Detection Through Anomaly Detection and Integrated Deep Learning with TabTransformer

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 Sensor Networks
Published
2025-01-01
DOI
https://doi.org/10.1504/ijsnet.2025.10071467
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Enhancing Intrusion Detection Through Anomaly Detection and Integrated Deep Learning with TabTransformer

Omar Al-Harbi
International Journal of Sensor Networks
Network Security and Intrusion Detection
article

Enhancing Intrusion Detection Through Anomaly Detection and Integrated Deep Learning with TabTransformer

Omar Al-Harbi
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 Sensor NetworksVol. 1(1)
Climate action
Openalex Percentile: Top 88%
Network Security and Intrusion Detection
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Enhancing Intrusion Detection Through Anomaly Detection and Integrated Deep Learning with TabTransformer — Omar Al-Harbi · International Journal of Sensor Networks (2025) | TGRS Research Map | TGRS