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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IoTBec: An Accurate and Efficient Recurring Vulnerability Detection Framework...

Haoran Yang (Institute of Information Engineering, Chinese Academy of Sciences, China and School of Cyber Security, University of Chinese Academy of Sciences, China), Jiaming Guo (Institute of Information Engineering, Chinese Academy of Sciences, China and School of Cyber Security, University of Chinese Academy of Sciences, China), Shuangning Yang (School of Internet, Anhui University, China), Guoli…

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Validity Is Not Enough: Uncovering the Security Pitfall in...

Di Zhai (Beijing Jiaotong University), Jiashuo Zhang (Peking University), Jianbo Gao (Beijing Jiaotong University), Tianhao Liu (Beijing Jiaotong University), Tao Zhang (Beijing Jiaotong University), Jian Wang (Beijing Jiaotong University), Jiqiang Liu (Beijing Jiaotong University)

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Looma: A Low-Latency PQTLS Authentication Architecture for Cloud Applications

Xinshu Ma (University of Edinburgh), Michio Honda (University of Edinburgh)

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