Automated Traces-based Anomaly Detection and Root Cause Analysis in Cloud Platforms

Soualhia, Mbarka; Wuhib, Fetahi

doi:10.1109/ic2e55432.2022.00034

Search citation statements

Order By: Relevance

Paper Sections

Select...

Introduction1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2023

Publication Types

Select...

Other2

Article1

Relationship

Self Cite0

Independent3

Authors

Journals

Cited by 3 publications

(1 citation statement)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This makes it easy to deploy and run VNFs on any infrastructure, and to scale them up or down as needed. Furthering the security and reliability of containers will, in turn, allow their rapid adoption in 5G VNFs [4].…”

Section: Introductionmentioning

confidence: 99%

AI-driven container security approaches for 5G and beyond: A survey

Taha¹,

Kuru²,

Sever³

et al. 2023

ITU J-FET

View full text Add to dashboard Cite

The rising use of microservice-based software deployment on the cloud leverages containerized software extensively. The security of applications running inside containers, as well as the container environment itself, are critical for infrastructure in cloud settings and 5G. To address security concerns, research efforts have been focused on container security with subfields such as intrusion detection, malware detection and container placement strategies. These security efforts are roughly divided into two categories: rule-based approaches and machine learning that can respond to novel threats. In this study, we survey the container security literature focusing on approaches that leverage machine learning to address security challenges.

show abstract

Section: Introductionmentioning

confidence: 99%