Bitcoin's security posture depends on more than consensus rules and proposal-based governance. This study proposes a formal cybersecurity framework for Bitcoin that integrates automated vulnerability monitoring, dependency inventory control, exploitability analysis, relational graph analytics, and funded bounty incentives. The framework is intended to reduce vulnerability exposure in Bitcoin Core and adjacent open-source dependencies through Dependabot for automated security pull requests, FOSSA for supply chain visibility, CycloneDX for exploitability classification, and Neo4j for relational tracking of vulnerability scope. The study argues that Bitcoin Improvement Proposals are insufficient for vulnerability management because they do not provide rapid remediation workflows or structured researcher incentives. A formal responsibility model is also proposed to assign accountability across maintainers, contributors, bounty hunters, financers, and policy functions. The resulting framework advances a more responsive, measurable, and auditable security posture for the Bitcoin ecosystem than existing frameworks.
Andrew Kamal (Thu,) studied this question.
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