Self-Healing Misconfiguration of Cloud-Based IoT Systems Using Markov Decision Processes

被引：0

作者：

Samir, Areeg ^{[1
]}

Dagenborg, Avard ^{[1
]}

机构：

[1] Arctic Univ Norway, Dept Comp Sci, Tromso, Norway

来源：

PROCEEDINGS OF THE 13TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND SERVICES SCIENCE, CLOSER 2023 | 2023年

关键词：

Markov Decision Process; Self-Healing; Recovery; Performance; Threat; Edge Computing; Cluster; Containers; Medical Devices; Multi-Cluster; RECONFIGURATION; INTERNET;

D O I：

10.5220/0011966700003488

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Misconfiguration of IoT devices and backend containerized-cluster systems can expose vulnerable areas at the network level, potentially allowing attackers to penetrate the network and disrupt workload and the flow of data between system components. This paper describes a self-healing model based on a Markov decision process that can recover the misconfiguration and its impact on the workload and data flow at the network level. The results show that the proposed controller led to accurate results in performance and reliability.

引用

页码：244 / 252

页数：9

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