Methods for securing Linux-based embedded systems

This paper focuses on the design and implementation of a secure Linux-based system for Compulab embedded devices serving as communication gateways in smart buildings. The primary goal is to protect the gateway against potential cyber threats while ensuring automated device management and secure and uninterrupted system operation with minimal downtime. We will briefly analyze three existing IoT security reference models and IoT vulnerabilities while proposing a resilient architecture with robust protection mechanisms. The final system is designed for efficient operation, minimal downtime, and compliance with stringent security requirements. Real-world testing will be conducted to verify its effectiveness, ensuring reliability and adaptability in modern smart building environments.

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.13164/eeict.2025.104
Primary Topic
Advanced Malware Detection Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Methods for securing Linux-based embedded systems

Tomáš Nagy, Lukáš Jablončík, Pavel Paluřík
Advanced Malware Detection Techniques
article

Methods for securing Linux-based embedded systems

Tomáš Nagy, Lukáš Jablončík, Pavel Paluřík
article en

Abstract

This paper focuses on the design and implementation of a secure Linux-based system for Compulab embedded devices serving as communication gateways in smart buildings. The primary goal is to protect the gateway against potential cyber threats while ensuring automated device management and secure and uninterrupted system operation with minimal downtime. We will briefly analyze three existing IoT security reference models and IoT vulnerabilities while proposing a resilient architecture with robust protection mechanisms. The final system is designed for efficient operation, minimal downtime, and compliance with stringent security requirements. Real-world testing will be conducted to verify its effectiveness, ensuring reliability and adaptability in modern smart building environments.

Openalex Percentile: Top 77%
Advanced Malware Detection Techniques
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