Tobias Länge (Karlsruhe Institute of Technology), Philipp Matheis (Karlsruhe Institute of Technology), Reyhan Düzgün (Ruhr University Bochum), Melanie Volkamer (Karlsruhe Institute of Technology), Peter Mayer (Karlsruhe Institute of Technology, University of Southern Denmark)

Virtual reality (VR) is a growing technology with social, gaming and commercial applications. Due to the sensitive data involved, these systems require secure authentication. Shoulder-surfing, in particular, poses a significant threat as (1) interaction is mostly performed by means of visible gestures and (2) wearing the glasses prevents noticing bystanders. In this paper, we analyze research proposing shoulder-surfing resistant schemes for VR and present new shoulder-surfing resistant authentication schemes. Furthermore, we conducted a user study and found authenticating with our proposed schemes is efficient with times as low as 5.1 seconds. This is faster than previous shoulder-surfing resistant VR schemes, while offering similar user satisfaction.

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Atheer Almogbil, Momo Steele, Sofia Belikovetsky (Johns Hopkins University), Adil Inam (University of Illinois at Urbana-Champaign), Olivia Wu (Johns Hopkins University), Aviel Rubin (Johns Hopkins University), Adam Bates (University of Illinois at Urbana-Champaign)

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HEIR: A Unified Representation for Cross-Scheme Compilation of Fully...

Song Bian (Beihang University), Zian Zhao (Beihang University), Zhou Zhang (Beihang University), Ran Mao (Beihang University), Kohei Suenaga (Kyoto University), Yier Jin (University of Science and Technology of China), Zhenyu Guan (Beihang University), Jianwei Liu (Beihang University)

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DynPRE: Protocol Reverse Engineering via Dynamic Inference

Zhengxiong Luo (Tsinghua University), Kai Liang (Central South University), Yanyang Zhao (Tsinghua University), Feifan Wu (Tsinghua University), Junze Yu (Tsinghua University), Heyuan Shi (Central South University), Yu Jiang (Tsinghua University)

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