Comprehensive Security for IoT Devices with Kubernetes and Raspberry Pi Cluster

Environmental monitoring systems have gained prominence across diverse applications, necessitating the integration of cutting-edge technologies. This article comprehensively explores such a system, emphasizing the integration of a Raspberry Pi cluster with the BME680 environmental sensor within a Ku...

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Bibliographic Details
Published in:Electronics (Basel) 2024-05, Vol.13 (9), p.1613
Main Authors: Donca, Ionut-Catalin, Stan, Ovidiu Petru, Misaros, Marius, Stan, Anca, Miclea, Liviu
Format: Article
Language:English
Subjects:
Access control
Analysis
Authentication
Benchmarks
Clusters
Critical infrastructure
Cybersecurity
Data collection
Data management
Energy consumption
Environmental monitoring
Hardware
Humidity
Information management
Infrastructure
Integrated software
Internet of Things
Interoperability
Monitoring systems
Multilayers
Occupational health and safety
R&D
Redundancy
Research & development
Resilience
Robustness (mathematics)
Security systems
Sensors
Storage
Systems and data security software
Technology application
Urban environments
VOCs
Volatile organic compounds
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Summary:Environmental monitoring systems have gained prominence across diverse applications, necessitating the integration of cutting-edge technologies. This article comprehensively explores such a system, emphasizing the integration of a Raspberry Pi cluster with the BME680 environmental sensor within a Kubernetes framework. This study encompasses the technical aspects of hardware configuration and places a significant focus on security benchmarks and robustness validation. The environmental monitoring infrastructure discussed in this article delves into the intricacies of the Raspberry Pi cluster’s hardware setup, including considerations for scalability and redundancy. This research addresses critical security gaps in contemporary environmental monitoring systems, particularly vulnerabilities linked to IoT deployments. Amidst increasing threats, this study introduces a robust framework that integrates advanced security tools—HashiCorp (San Francisco, CA, USA) Vault v1.16 for dynamic secret management and OpenID Connect for authentication processes—to enhance applications and system integrity and resilience within the Kubernetes environment. The approach involves a multi-layered security architecture that fortifies the storage and management of credentials and ensures authenticated and authorized interactions within IoT networks. Furthermore, our research incorporates a series of security benchmark tests, including vulnerability scanning, penetration testing, and access control assessments. Additionally, this article addresses crucial aspects related to data management and analysis, detailing the methodologies employed for storing, processing, and deriving insights from the collected environmental data. It further explores the integration of the monitoring system with existing infrastructure and systems, facilitating seamless data sharing and interoperability and offering valuable insights into the system’s ability to withstand potential threats and vulnerabilities. The integration of Raspberry Pi clusters with BME680 environmental sensors within a Kubernetes-managed framework significantly enhances the scalability and security of IoT systems. This study quantifies the improvements, demonstrating at least a 30% enhancement in system responsiveness and a minimum 40% reduction in vulnerability exposures, as verified by extensive security benchmarks, including penetration testing. These advancements facilitate robust, scalable IoT deployments, with potential applic
ISSN:2079-9292
2079-9292
DOI:10.3390/electronics13091613