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Related Experiment Video

Updated: May 26, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

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Published on: September 8, 2023

Common criteria related security design patterns for intelligent sensors--knowledge engineering-based implementation.

Andrzej Bialas¹

¹Institute of Innovative Technologies EMAG, 40-189 Katowice, Leopolda 31, Poland. a.bialas@emag.pl

Sensors (Basel, Switzerland)

|December 14, 2011

Summary

This summary is machine-generated.

Intelligent sensor security can be enhanced using Common Criteria (ISO/IEC 15408) methodologies. This study introduces a novel ontological approach to improve the robustness of sensor systems, applicable across various domains.

Keywords:

Common Criteria IT security development design pattern information security intelligent sensor knowledge engineering

Related Experiment Videos

Last Updated: May 26, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Area of Science:

Information Security
Cyber-Physical Systems
Knowledge Engineering

Background:

Intelligent sensors share security vulnerabilities with general IT systems.
Existing assurance methodologies like Common Criteria (ISO/IEC 15408) offer potential for enhancing sensor security.
Previous research explored patterns-based security specifications for sensor systems.

Purpose of the Study:

To introduce and validate a new ontological approach for intelligent sensor security.
To apply knowledge engineering to a Common Criteria compliant, pattern-based security development method.
To demonstrate the broader applicability of the proposed method to information security challenges in diverse domains.

Main Methods:

Development of a novel ontology and knowledge base for sensor security.
Validation of the ontology and knowledge base within an IT security development process, using a sensor as a case study.
Application of knowledge engineering principles to an established Common Criteria compliant, pattern-based security method.

Main Results:

The elaborated ontology and knowledge base were successfully validated on an intelligent sensor security development process.
The study demonstrated the effectiveness of applying knowledge engineering to enhance existing security methodologies.
The proposed approach shows promise for improving the robustness of sensor systems in high-risk environments.

Conclusions:

The ontological approach provides a robust framework for developing secure intelligent sensor systems.
The integration of knowledge engineering enhances the Common Criteria compliant, pattern-based security development method.
The findings have significant implications for addressing information security challenges across multiple application domains beyond sensors.