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

Areeg Samir, Håvard Dagenborg

2023

Abstract

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.

Paper Citation

in Harvard Style

Samir A. and Dagenborg H. (2023). Self-Healing Misconfiguration of Cloud-Based IoT Systems Using Markov Decision Processes. In Proceedings of the 13th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER, ISBN 978-989-758-650-7, SciTePress, pages 244-252. DOI: 10.5220/0011966700003488

in Bibtex Style

@conference{closer23,
author={Areeg Samir and Håvard Dagenborg},
title={Self-Healing Misconfiguration of Cloud-Based IoT Systems Using Markov Decision Processes},
booktitle={Proceedings of the 13th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,},
year={2023},
pages={244-252},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011966700003488},
isbn={978-989-758-650-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,
TI - Self-Healing Misconfiguration of Cloud-Based IoT Systems Using Markov Decision Processes
SN - 978-989-758-650-7
AU - Samir A.
AU - Dagenborg H.
PY - 2023
SP - 244
EP - 252
DO - 10.5220/0011966700003488
PB - SciTePress