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Willard Rafnsson

Publications and source records attributed to Willard Rafnsson.

3 recordsLinked to original sources

Beyond Platforms -- Growing Distributed Transaction Networks for Digital Commerce

We talk of the internet as digital infrastructure; but we leave the building of rails and roads to the quasi-monopolistic platform providers. Decentralised architectures provide a number of advantages: They are potentially more inclusive for small players; more resilient against adversarial events; and seem to generate more innovation. However, it is not well understood how to evolve, adapt and govern decentralised infrastructures. This article reports qualitative empirical research on the development and governance of the Beckn Protocol, an open source protocol for decentralised transactions, the successful development of domain-specific adaptations, and implementation and scaling of commercial infrastructures based on it. It explores how the architecture and governance support local innovation for specific business domains, and how the domain-specific innovations feed back into the development of the core concept The research applied a case study approach, combining interviews with core members of the Beckn community; triangulated by interviews with community leaders of domain specific adaptations and by analysis of online documents and the protocol itself. The article shows the possibility of such a decentralised approach to IT Infrastructures. It analyses the Beckn Protocol, domain specific adaptations, and networks built as a software ecosystem. Based on this analysis, a number of generative mechanisms, socio-technical arrangements that support adoption, innovation, and scaling of infrastructures are highlighted.

cs.CY

Privacy with Good Taste: A Case Study in Quantifying Privacy Risks in Genetic Scores

Analysis of genetic data opens up many opportunities for medical and scientific advances. The use of phenotypic information and polygenic risk scores to analyze genetic data is widespread. Most work on genetic privacy focuses on basic genetic data such as SNP values and specific genotypes. In this paper, we introduce a novel methodology to quantify and prevent privacy risks by focusing on polygenic scores and phenotypic information. Our methodology is based on the tool-supported privacy risk analysis method Privug. We demonstrate the use of Privug to assess privacy risks posed by disclosing a polygenic trait score for bitter taste receptors, encoded by TAS2R38 and TAS2R16, to a person's privacy in regards to their ethnicity. We provide an extensive privacy risks analysis of different programs for genetic data disclosure: taster phenotype, tasting polygenic score, and a polygenic score distorted with noise. Finally, we discuss the privacy/utility trade-offs of the polygenic score.

cs.CR

Privug: Using Probabilistic Programming for Quantifying Leakage in Privacy Risk Analysis

Disclosure of data analytics results has important scientific and commercial justifications. However, no data shall be disclosed without a diligent investigation of risks for privacy of subjects. Privug is a tool-supported method to explore information leakage properties of data analytics and anonymization programs. In Privug, we reinterpret a program probabilistically, using off-the-shelf tools for Bayesian inference to perform information-theoretic analysis of the information flow. For privacy researchers, Privug provides a fast, lightweight way to experiment with privacy protection measures and mechanisms. We show that Privug is accurate, scalable, and applicable to a range of leakage analysis scenarios.

cs.CR