A technology transfer journey to a model-driven access control system

Area of Science:

• Computer Science
• Software Engineering
• Cybersecurity

Background:

• Commercial access control systems often lack customization and pose cross-platform development challenges.
• High costs associated with development and maintenance hinder solution providers.

Purpose of the Study:

• To propose a model-driven approach for optimizing access control system development.
• To enable automatic code generation for seamless IoT infrastructure and Facility Access Management integration.

Main Methods:

• Combines Near-Field Communication (NFC) and Tinkerforge (open-source hardware) with model-driven techniques.
• Utilizes behavioral and structural models for authorization mechanism modeling and code generation.
• Ensures complete code coverage for the entire system.

Main Results:

• Demonstrates practical applicability through a real-world case study in a fitness center.
• Experimental results confirm the effectiveness of abstraction and automation.
• Reduces development time and error rates compared to traditional code-centric methods.

Conclusions:

• The proposed model-driven approach streamlines access control system development.
• Automatic code generation significantly reduces time-to-market for security solutions.
• Enhances flexibility and reduces errors in implementing authorization logic.