Akul Goyal (Provenance Security, Inc.), Adam Bates (Provenance Security, Inc.)

Provenance-based security applications are showing tremendous promise in the academic literature, but successfully transition these technologies to practice will require community stakeholders to demonstrate the business potential of provenance analysis. Customer Discovery is a structured process through which early-stage start-ups can validate the commercial potential of an idea through direct interaction with potential customers. As a provenance-based security start-up, we conducted hundreds of customer discovery interviews, and believe that many of our findings would be of interest to the broader academic community. In this position paper, we summarize our findings and consider how they could inform future research on provenance analysis.

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Jie Song (Institute of Information Engineering, Chinese Academy of Sciences; Intelligent Policing Key Laboratory of Sichuan Province, Sichuan Police College; School of Cyber Security, University of Chinese Academy of Sciences), Zhen Xu (Institute of Information Engineering, Chinese Academy of Sciences), Yan Zhang (Institute of Information Engineering, Chinese Academy of Sciences; School of Cyber Security, University…

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Pallas and Aegis: Rollback Resilience in TEE-Aided Blockchain Consensus

Jérémie Decouchant (Delft University of Technology), David Kozhaya (ABB Corporate Research), Vincent Rahli (University of Birmingham), Jiangshan Yu (The University of Sydney)

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