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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ANONYCALL: Enabling Native Private Calling in Mobile Networks

Hexuan Yu (Virginia Polytechnic Institute and State University), Chaoyu Zhang (Virginia Polytechnic Institute and State University), Yang Xiao (University of Kentucky), Angelos D. Keromytis (Georgia Institute of Technology), Y. Thomas Hou (Virginia Polytechnic Institute and State University), Wenjing Lou (Virginia Polytechnic Institute and State University)

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Echoes of the Past: Detecting and Classifying Re-registered Domains...

Muhammad Muzammil (Stony Brook University), Zafir Ansari (Infoblox), Nick Nikiforakis (Stony Brook University), Darin Johnson (Infoblox)

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NetRadar: Enabling Robust Carpet Bombing DDoS Detection

Junchen Pan (Tsinghua University), Lei Zhang (Zhongguancun Laboratory), Xiaoyong Si (Tencent Technology (Shenzhen)), Jie Zhang (Tsinghua University), Xinggong Zhang (Peking University), Yong Cui (Tsinghua University)

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