Machine Learning for Cloud Data Classification and Anomaly Intrusion Detection

Authors

Institutions

Publication Details

Journal
Ingénierie des systèmes d information
Published
2024-10-24
DOI
https://doi.org/10.18280/isi.290514
Citations
1
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.35
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Machine Learning for Cloud Data Classification and Anomaly Intrusion Detection

Salheddine Sadouni, Abdelhafid Zitouni, Leila Megouache, Mahiéddine Djoudi
1 citations
Ingénierie des systèmes d information
Network Security and Intrusion Detection
0.35
article

Machine Learning for Cloud Data Classification and Anomaly Intrusion Detection

Salheddine Sadouni, Abdelhafid Zitouni, Leila Megouache, Mahiéddine Djoudi
article en
1 citations

Abstract

No abstract available for this paper.
Ingénierie des systèmes d informationVol. 29(05)
University Frères Mentouri Constantine 1 (DZ), Université Constantine 2 (DZ), University of Constantine 3 (DZ)
Climate action
Openalex Percentile: Top 37%
Network Security and Intrusion Detection
0.35
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.

Machine Learning for Cloud Data Classification and Anomaly Intrusion Detection — Salheddine Sadouni, Abdelhafid Zitouni, et al. · Ingénierie des systèmes d information (2024) | TGRS Research Map | TGRS