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IMSC-EIoTD: Identity Management and Secure Communication for Edge IoT Devices
Kazi Masum Sadique1, Rahim Rahmani1, Paul Johannesson1
1Department of Computer and Systems Sciences, Stockholm University, 16407 Stockholm, Sweden.
This study introduces an edge-fog based decentralized identity management system for Internet of Things (IoT) devices and gateways. It offers a secure solution for authentication and authorization, overcoming limitations of cloud-based and IP-based systems.
Area of Science:
- Computer Science
- Network Security
- Internet of Things
Background:
- The Internet of Things (IoT) connects billions of devices, necessitating robust identity management for communication.
- Existing IP-based identity solutions are inadequate for heterogeneous and mobile IoT devices.
- Cloud-based identity management systems are not feasible for real-time, low-latency IoT applications.
Purpose of the Study:
- To propose an edge-fog based decentralized identity management and authentication solution for IoT devices (IoTD) and edge IoT gateways (EIoTG).
- To develop a secure communication protocol for interactions between IoTD and EIoTG.
- To formally verify the security and correctness of the proposed solution.
Main Methods:
- Development of an edge-fog based decentralized architecture for identity management.
- Design of a secure communication protocol for IoT device and gateway interactions.
- Formal verification of security protocols using the Scyther tool.
- Model specification in PROMELA and verification using the SPIN model checker.
Main Results:
- The proposed edge-fog based decentralized solution effectively manages identities for heterogeneous IoT devices.
- The secure communication protocol ensures safe data exchange between IoTD and EIoTG.
- Formal verification confirmed the correctness and security of the proposed model and protocols, showing error-free message flows.
Conclusions:
- The proposed edge-fog based decentralized identity management system is a viable and secure solution for the Internet of Things.
- This approach addresses the limitations of traditional IP-based and cloud-based systems in the IoT context.
- Formal verification validates the robustness and reliability of the proposed security protocols and model.
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