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Common Criteria related security design patterns--validation on the intelligent sensor example designed for mine

Andrzej Bialas¹

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

Sensors (Basel, Switzerland)

|March 9, 2012

Summary

This summary is machine-generated.

This study introduces a Common Criteria compliant method to enhance the security of intelligent sensors used in high-risk applications. The pattern-based approach improves sensor system assurance and robustness.

Keywords:

Common Criteria IT security development design pattern intelligent sensor methane detector

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Area of Science:

Computer Science
Information Security
Sensor Technology

Background:

Intelligent sensors are increasingly used in high-risk applications, necessitating robust security measures.
Existing security development practices may not adequately address the unique challenges of intelligent sensor systems.
Assurance methodologies like Common Criteria (ISO/IEC 15408) are vital for securing information technology (IT) products.

Purpose of the Study:

To propose a novel Common Criteria compliant, pattern-based method for the secure development of intelligent sensors.
To evaluate and refine this security development method through a practical case study.
To address the specific security challenges in defining and implementing solutions for intelligent sensors.

Main Methods:

Development of a pattern-based security engineering method aligned with Common Criteria (ISO/IEC 15408) standards.
Application and evaluation of the proposed method to a methane-detecting intelligent sensor system used in mining.
Validation through focused analysis of the intelligent sensor's security definition and proposed solutions.

Main Results:

A structured, Common Criteria compliant method for enhancing intelligent sensor security has been presented.
The evaluation demonstrated the method's applicability and effectiveness in addressing security concerns for a specific intelligent sensor.
The study identified areas for improvement in the proposed security development method.

Conclusions:

The developed method offers a robust framework for securing intelligent sensor systems in critical applications.
Pattern-based development, guided by Common Criteria, is a viable strategy for improving sensor system assurance.
Further validation and refinement of the method are recommended to broaden its applicability and impact.