A security mechanism based on evolutionary game in fog computing.

Area of Science:

• Computer Science
• Network Security
• Distributed Systems

Background:

• Fog computing involves distributed resource sharing at the network edge, increasing vulnerability to attacks due to wireless access and wide geographical distribution.
• User cooperation is essential in fog computing, but resource openness exposes devices to interception and security threats.

Purpose of the Study:

• To propose a novel security mechanism for fog computing that enhances user cooperation and protects shared resources.
• To address the security challenges arising from the distributed and wireless nature of fog computing environments.

Main Methods:

• Introduction of a credible third party to monitor user behavior and ensure secure cooperation.
• Development of a fog computing security mechanism modeled on the human nervous system.
• Calculation of strategies for stable system evolution using MATLAB simulations.

Main Results:

• The proposed mechanism significantly reduces the incidence of attack behaviors in fog computing networks.
• The security mechanism effectively stimulates positive user cooperation in application tasks.
• MATLAB simulations validated the efficacy of the proposed approach in enhancing security and cooperation.

Conclusions:

• The human nervous system-inspired security mechanism offers a robust solution for fog computing security.
• Implementing this mechanism can lead to more secure and cooperative fog computing environments.
• This approach contributes to the advancement of secure distributed computing paradigms.