Show simple item record

dc.contributor.authorElgazazz, Areeg Samir Ahmed
dc.contributor.authorAl-Wosabi, Abdo
dc.contributor.authorKhan, Mohsin
dc.contributor.authorDagenborg, Håvard Johansen
dc.date.accessioned2023-11-13T12:49:50Z
dc.date.available2023-11-13T12:49:50Z
dc.date.issued2023-10-12
dc.description.abstractKubernetes default configurations do not always provide optimal security and performance for all clusters and IoT edge devices deployed, making them vulnerable to security breaches and information leakage if misconfigured. Misconfiguration leads to a compromised system that disrupts the workload, allows access to system resources, and degrades the system’s performance. To provide optimal security for deployed clusters and IoT edge devices, the system should detect misconfigurations to secure and optimize its performance. We consider that configurations are hidden, as they are some sort of secret key or access token for an external service. We aim to link the clusters and IoT edge devices’ undesirable observed performance to their hidden configurations by providing a multi-pronged self-adaptive controller to monitor and detect misconfigurations in such settings. Furthermore, the controller implements standardized enforcement policies, demonstrating the controls required for regulatory compliance and providing users with appropriate access to the system resources. The aim of this paper is to introduce the controller mechanism by providing its main processes. Initial evaluations are done to assess the reliability and performance of the controller under different misconfiguration scenarios.en_US
dc.identifier.citationSamir, A., Al-Wosabi, A., Khan, M., Dagenborg, H. (2023). A Multi-pronged Self-adaptive Controller for Analyzing Misconfigurations for Kubernetes Clusters and IoT Edge Devices. In: Papadopoulos, G.A., Rademacher, F., Soldani, J. (eds) Service-Oriented and Cloud Computing. ESOCC 2023. Lecture Notes in Computer Science, vol 14183. Springer, Cham. https://doi.org/10.1007/978-3-031-46235-1_10en_US
dc.identifier.cristinIDFRIDAID 2194063
dc.identifier.doihttps://doi.org/10.1007/978-3-031-46235-1_10
dc.identifier.urihttps://hdl.handle.net/10037/31734
dc.language.isoengen_US
dc.publisherSpringer Natureen_US
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2023 The Author(s)en_US
dc.titleA Multi-pronged Self-adaptive Controller for Analyzing Misconfigurations for Kubernetes Clusters and IoT Edge Devicesen_US
dc.type.versionacceptedVersionen_US
dc.typeConference objecten_US
dc.typeKonferansebidragen_US


File(s) in this item

Thumbnail

This item appears in the following collection(s)

Show simple item record