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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HyperMirage: Direct State Manipulation in Hybrid Virtual CPU Fuzzing

Manuel Andreas (Technical University of Munich), Fabian Specht (Technical University of Munich), Marius Momeu (Technical University of Munich)

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Efficiently Detecting DBMS Bugs through Bottom-up Syntax-based SQL Generation

Yu Liang (The Pennsylvania State University), Peng Liu (The Pennsylvania State University)

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HoneySat: A Network-based Satellite Honeypot Framework

Efrén López-Morales (New Mexico State University), Ulysse Planta (CISPA Helmholtz Center for Information Security), Gabriele Marra (CISPA Helmholtz Center for Information Security), Carlos Gonzalez-Cortes (Universidad de Santiago de Chile and German Aerospace Center (DLR)), Jacob Hopkins (Texas A&M University - Corpus Christi), Majid Garoosi (CISPA Helmholtz Center for Information Security), Elías Obreque (Universidad de Chile),…

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