Learning State Machines to Monitor and Detect Anomalies on a Kubernetes Cluster-Reference-Cited by-同舟云学术

Learning State Machines to Monitor and Detect Anomalies on a Kubernetes Cluster

Published:2022-08-23 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 17th International Conference on Availability, Reliability and Security
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Author:

Cao Clinton¹,Blaise Agathe²,Verwer Sicco¹,Rebecchi Filippo²

Affiliation:

1. Delft University of Technology, Netherlands

2. Thales SIX GTS France, France

Funder

AssureMOSS

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3538969.3543810

Reference30 articles.

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2. AlcideIO. [n.d.]. KAudit. https://github.com/alcideio/kaudit AlcideIO. [n.d.]. KAudit. https://github.com/alcideio/kaudit

3. aqua. [n.d.]. Your Cloud Native Applications Secured From the Start. https://www.aquasec.com/ aqua. [n.d.]. Your Cloud Native Applications Secured From the Start. https://www.aquasec.com/

4. Inferring models of concurrent systems from logs of their behavior with CSight

5. Edmund M. Clarke O. Grumberg and D. Peled. 1999. Model checking. MIT Press. Edmund M. Clarke O. Grumberg and D. Peled. 1999. Model checking. MIT Press.

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