Diego Ortiz, Leilani Gilpin, Alvaro A. Cardenas (University of California, Santa Cruz)

Autonomous vehicles must operate in a complex environment with various social norms and expectations. While most of the work on securing autonomous vehicles has focused on safety, we argue that we also need to monitor for deviations from various societal “common sense” rules to identify attacks against autonomous systems. In this paper, we provide a first approach to encoding and understanding these common-sense driving behaviors by semi-automatically extracting rules from driving manuals. We encode our driving rules in a formal specification and make our rules available online for other researchers.

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He-HTLC: Revisiting Incentives in HTLC

Sarisht Wadhwa (Duke University), Jannis Stoeter (Duke University), Fan Zhang (Duke University, Yale University), Kartik Nayak (Duke University)

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CableAuth: A Biometric Second Factor Authentication Scheme for Electric...

Jack Sturgess, Sebastian Köhler, Simon Birnbach, Ivan Martinovic (University of Oxford)

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Operationalizing Cybersecurity Research Ethics Review: From Principles and Guidelines...

Dennis Reidsma, Jeroen van der Ham, and Andrea Continella (University of Twente)

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Tag of the Dead: How Terminated SaaS Tags Become...

Takahito Sakamoto, Takuya Murozono (DataSign Inc)

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