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Regulatory mechanism of vulnerability disclosure behavior considering security crowd-testing: An evolutionary game
Liurong Zhao1, Xiaoxi Yu1, Xinyu Zhou1
1School of Economics and Management, Nanjing Tech University, Nanjing, Jiangsu, China.
Plos One
|June 21, 2024
Summary
This study proposes a new regulatory mechanism for collaborative vulnerability disclosure. It enhances Security Response Centers (SRCs), security researchers, and government cooperation for better cybersecurity.
Area of Science:
- Cybersecurity
- Game Theory
- Regulatory Science
Background:
- Existing crowd-testing regulations fail due to unaddressed multi-agent responsibilities and conflicting interests.
- Previous research focused on legal aspects of ethical hacking disclosure, not managerial incentives.
Purpose of the Study:
- To develop a managerial perspective-based evolutionary game model for tripartite collaborative vulnerability disclosure.
- To propose effective regulatory mechanisms for Security Response Centers (SRCs), security researchers, and government.
Main Methods:
- Constructed an evolutionary game model involving SRCs, security researchers, and the government.
- Analyzed the impact of initial willingness and incentive mechanisms on collaborative disclosure.
Main Results:
- Higher initial collaborative willingness accelerates system stability.
- Government incentives require demonstrable regulatory benefits.
- SRCs need punishment and trust mechanisms; researchers need publicity and training to deter illegal activity.
Conclusions:
- Optimized regulatory mechanisms improve SRC service quality and government effectiveness.
- Guiding legal participation of security researchers fosters healthy crowd-testing development.
- A multi-party collaborative vulnerability disclosure system is achievable through these improvements.
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