AIセキュリティポータル K Program
The Kubernetes Security Landscape: AI-Driven Insights from Developer Discussions
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Abstract
Kubernetes, the go-to container orchestration solution, has swiftly become the industry standard for managing containers at scale in production environments. Its widespread adoption, particularly in large organizations, has elevated its profile and made it a prime target for security concerns. This study aims to understand how prevalent security concerns are among Kubernetes practitioners by analyzing all Kubernetes posts made on Stack Overflow over the past four years. We gathered security insights from Kubernetes practitioners and transformed the data through machine learning algorithms for cleaning and topic clustering. Subsequently, we used advanced AI tools to automatically generate topic descriptions, thereby reducing the analysis process. In our analysis, security-related posts ranked as the fourth most prevalent topic in these forums, comprising 12.3% of the overall discussions. Furthermore, the findings indicated that although the frequency of security discussions has remained constant, their popularity and influence have experienced significant growth. Kubernetes users consistently prioritize security topics, and the rising popularity of security posts reflects a growing interest and concern for maintaining secure Kubernetes clusters. The findings underscore key security issues that warrant further research and the development of additional tools to resolve them.
What are developers talking about? an analysis of topics and trends in stack overflow
A. Barua, S. W. Thomas, A. E. Hassan
Published: 2014
Min(e)d your tags: Analysis of question response time in StackOverflow
V. Bhat, A. Gokhale, R. Jadhav, J. Pudipeddi, L. Akoglu
Published: 2014
Stay at the helm: secure kubernetes deployments via graph generation and attack reconstruction
A. Blaise, F. Rebecchi
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‘under-reported’ security defects in kubernetes manifests
D. B. Bose, A. Rahman, S. I. Shamim
Published: 2021
Borg, omega, and kubernetes
B. Burns, B. Grant, D. Oppenheimer, E. Brewer, J. Wilkes
Published: 2016
Who will answer my question on stack overflow?
M. Choetkiertikul, D. Avery, H. K. Dam, T. Tran, A. Ghose
Published: 2015
A topic modeling comparison between LDA, NMF, Top2Vec, and BERTopic to demystify twitter posts
R. Egger, J. Yu
Published: 2022
Design of cloud native application architecture based on kubernetes
Q. Jiao, B. Xu, Y. Fan
Published: 2021
Gpt-4 passes the bar exam
D. M. Katz, M. J. Bommarito, S. Gao, others
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Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing
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Detection, analysis and countermeasures for container based misconfiguration using docker and kubernetes
V. B. Mahajan, S. B. Mane
Published: 2022
Characterising resource management performance in kubernetes
V. Medel, R. Tolosana-Calasanz, J. A. Ba ñares, U. Arronategui, O. F. Rana
Published: 2018
Improving low quality stack overflow post detection
L. Ponzanelli, A. Mocci, A. Bacchelli, M. Lanza, D. Fullerton
Published: 2014
Security misconfigurations in open source kubernetes manifests: An empirical study
A. Rahman, S. I. Shamim, D. B. Bose, R. Pandita
Published: 2023
State of kubernetes security report 2023
Red Hat
Published: 2023
Gpt-4 is here: what scientists think
Katharine Sanderson
Published: 2023
Mitigating security attacks in kubernetes manifests for security best practices violation
S. I. Shamim
Published: 2021
Software for improve the security of kubernetes-based CI/CD pipeline
R. Shevchuk, M. Karpinski, M. Kasianchuk, I. Yakymenko, A. Melnyk, R. Tykhyi
Published: 2023
A mixed method study of DevOps challenges
M. H. Tanzil, M. Sarker, G. Uddin, A. Iqbal
Published: 2023
Characterization and prediction of questions without accepted answers on stack overflow
M. Yazdaninia, D. Lo, A. Sami
Published: 2021
Helm charts for kubernetes applications: Evolution, outdatedness and security risks
A. Zerouali, R. Opdebeeck, C. De Roover
Published: 2023
Cloud computing: state-of-the-art and research challenges
Q. Zhang, L. Cheng, R. Boutaba
Published: 2010
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