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Sofia Okorafor

Publications and source records attributed to Sofia Okorafor.

2 recordsLinked to original sources

Why Johnny Adopts Identity-Based Software Signing: A Usability Case Study of Sigstore

Software signing is the most robust method for ensuring the integrity and authenticity of components in a software supply chain. Legacy key-managed signing tools (e.g., OpenPGP) burdened practitioners with key management and signer identification, creating both usability challenges and security risks. A new class of identity-based signing tools automate many of these concerns, but little is known about their usability and its effect on their adoption and effectiveness in practice. A usability evaluation can clarify the extent to which identity-based designs succeed and highlight priorities for improvement. To fill this gap, we conducted the first usability study of Sigstore, a pioneering and widely adopted exemplar of identity-based signing. Through interviews with 17 industry experts, we examined (1) the problems and advantages associated with practitioners' tooling choices, (2) how and why their signing-tool usage has evolved over time, and (3) the contexts that cause usability concerns. Our findings illuminate the usability factors of identity-based signing tools and yield recommendations for toolmakers, adopting organizations, and the research community. Notably, components of identity-based tooling exhibit different levels of maturity and readiness for adoption, and integration flexibility is a common pain point but potentially mitigable through plugins and APIs. Our results will help identity-based signing toolmakers further strengthen software supply chain security.

cs.SE

ARMS: A Vision for Actor Reputation Metric Systems in the Open-Source Software Supply Chain

Many critical information technology and cyber-physical systems rely on a supply chain of open-source software projects. OSS project maintainers often integrate contributions from external actors. While maintainers can assess the correctness of a pull request, assessing a pull request's cybersecurity implications is challenging. To help maintainers make this decision, we propose that the open-source ecosystem should incorporate Actor Reputation Metrics (ARMS). This capability would enable OSS maintainers to assess a prospective contributor's cybersecurity reputation. To support the future instantiation of ARMS, we identify seven generic security signals from industry standards; map concrete metrics from prior work and available security tools, describe study designs to refine and assess the utility of ARMS, and finally weigh its pros and cons.

cs.CR