Survey of Intrusion Detection Techniques in Cloud Computing

With the continued development of cloud computing environments, security measures have become more im-portant than ever. Intrusion detection systems (IDS) are considered one of the most critical security measures in cloud computing. Researchers aim to find effective technologies for detecting intrusions in cloud computing. This paper presents a comprehensive survey of the techniques used for Intrusion Detection in Cloud Computing and their classification. Specifically, it covers a range of techniques such as machine learning, and provides insights for researchers looking to develop more flexible and effective techniques for intrusion detection in cloud computing.

Authors

Institutions

Publication Details

Journal
مجلة جامعة صنعاء للعلوم التطبيقية والتكنولوجيا
Published
2024-08-31
DOI
https://doi.org/10.59628/jast.v2i4.970
Citations
3
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
1.05
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Survey of Intrusion Detection Techniques in Cloud Computing

Suad Mohammed Othman, Adnan Yehia Al-mutawkkil, Amani Mohammed Alnashi
3 citations
مجلة جامعة صنعاء للعلوم التطبيقية والتكنولوجيا
Network Security and Intrusion Detection
1.05
article

Survey of Intrusion Detection Techniques in Cloud Computing

Suad Mohammed Othman, Adnan Yehia Al-mutawkkil, Amani Mohammed Alnashi
article en
3 citations

Abstract

With the continued development of cloud computing environments, security measures have become more im-portant than ever. Intrusion detection systems (IDS) are considered one of the most critical security measures in cloud computing. Researchers aim to find effective technologies for detecting intrusions in cloud computing. This paper presents a comprehensive survey of the techniques used for Intrusion Detection in Cloud Computing and their classification. Specifically, it covers a range of techniques such as machine learning, and provides insights for researchers looking to develop more flexible and effective techniques for intrusion detection in cloud computing.

مجلة جامعة صنعاء للعلوم التطبيقية والتكنولوجياVol. 2(4)
Sana'a University (YE)
Openalex Percentile: Top 22%
Network Security and Intrusion Detection
1.05
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.