Mohit Kumar Jangid (The Ohio State University), Yue Zhang (Computer Science & Engineering, Ohio State University), Zhiqiang Lin (The Ohio State University)

Bluetooth is a leading wireless communication technology used by billions of Internet of Things (IoT) devices today. Its ubiquity demands systematic security scrutiny. A key ingredient in Bluetooth security is secure pairing, which includes Numeric comparison (NC) and Passkey Entry (PE). However, most prior formal efforts have considered only NC, and PE has not yet been formally studied in depth. In this paper, we propose a detailed formal analysis of the PE protocol. In particular, we present a generic formal model, built using Tamarin, to verify the security of PE by precisely capturing the protocol behaviors and attacker capabilities. Encouragingly, it rediscovers three known attacks (confusion attacks, static passcode attacks, and reflection attacks), and more importantly, also uncovers two new attacks (group guessing attacks and ghost attacks) spanning across diverse attack vectors (e.g., static variable reuse, multi-threading, reflection, human error, and compromise device). Finally, after applying fixes to each vulnerability, our model further proves the confidentiality and authentication properties of the PE protocol using an inductive base model.

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RR: A Fault Model for Efficient TEE Replication

Baltasar Dinis (Instituto Superior Técnico (IST-ULisboa) / INESC-ID / MPI-SWS), Peter Druschel (MPI-SWS), Rodrigo Rodrigues (Instituto Superior Técnico (IST-ULisboa) / INESC-ID)

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Smarter Contracts: Detecting Vulnerabilities in Smart Contracts with Deep...

Christoph Sendner (University of Wuerzburg), Huili Chen (University of California San Diego), Hossein Fereidooni (Technische Universität Darmstadt), Lukas Petzi (University of Wuerzburg), Jan König (University of Wuerzburg), Jasper Stang (University of Wuerzburg), Alexandra Dmitrienko (University of Wuerzburg), Ahmad-Reza Sadeghi (Technical University of Darmstadt), Farinaz Koushanfar (University of California San Diego)

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Focusing on Pinocchio's Nose: A Gradients Scrutinizer to Thwart...

Jiayun Fu (Huazhong University of Science and Technology), Xiaojing Ma (Huazhong University of Science and Technology), Bin B. Zhu (Microsoft Research Asia), Pingyi Hu (Huazhong University of Science and Technology), Ruixin Zhao (Huazhong University of Science and Technology), Yaru Jia (Huazhong University of Science and Technology), Peng Xu (Huazhong University of Science and Technology), Hai…

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