Secure and dynamic access control for the Internet of Things (IoT) based traffic system

Area of Science:

• Computer Science
• Network Security
• Internet of Things (IoT)

Background:

• The proliferation of Internet of Things (IoT) devices in critical sectors like government and military necessitates robust data security.
• Increased communication and data sharing among IoT devices amplify the risks of information breaches.
• Existing access control models lack the combined attributes of dynamicity, security, ease of administration, and rapid execution.

Purpose of the Study:

• To propose a novel Secure and Dynamic Access Control (SDAC) model tailored for IoT networks.
• To address the limitations of current access control systems in providing comprehensive security and dynamic management.
• To enhance data security and enable seamless information exchange in applications like smart traffic control and roadside parking management.

Main Methods:

• Development of a novel Secure and Dynamic Access Control (SDAC) model.
• Implementation of the SDAC model for secure communication over wired and wireless networks (Cellular, Wi-Fi).
• Validation through mathematical modeling and illustrative example implementations.

Main Results:

• The proposed SDAC model effectively secures data by restricting unauthorized access in IoT environments.
• Demonstrated capability for dynamic access control, balancing security with operational needs.
• Mathematical models confirmed the model's efficiency and effectiveness in securing IoT communications.

Conclusions:

• The SDAC model offers a viable solution for enhancing security in IoT networks, particularly for smart city applications.
• The model provides a secure and dynamic approach to access control, overcoming limitations of existing systems.
• The research validates the practical applicability and performance of the SDAC model through rigorous analysis and examples.