Seungkyun Han (Chungnam National University), Jinsoo Jang (Chungnam National University)

We propose a solution, MyTEE, that enables a trusted execution environment (TEE) to be built even in worst-case environments wherein major hardware security primitives (e.g., ARM TrustZone extensions for memory access control) are absent. Crafting page tables for memory isolation, filtering DMA packets, and enabling secure IO exist at the core of MyTEE. Particularly for secure IO, we shield the IO buffers and memory-mapped registers of the controllers and securely escalate the privilege of the partial code block of the device drivers to provide permission to access the protected objects. By doing so, the need to host the device driver in the TEE (in whole or in part), which can potentially introduce a new attack surface, is exempted. The proof-of-concept (PoC) of MyTEE is implemented on the Raspberry Pi 3 board, which does not support most of the important security primitives for building the TEE. Additionally, three secure IO examples with the hardware TPM, framebuffer, and USB keyboard are demonstrated to show the feasibility of our approach.

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VulHawk: Cross-architecture Vulnerability Detection with Entropy-based Binary Code Search

Zhenhao Luo (College of Computer, National University of Defense Technology), Pengfei Wang (College of Computer, National University of Defense Technology), Baosheng Wang (College of Computer, National University of Defense Technology), Yong Tang (College of Computer, National University of Defense Technology), Wei Xie (College of Computer, National University of Defense Technology), Xu Zhou (College of Computer,…

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Julian Huwyler (ETH Zurich), James Pavur (University of Oxford), Giorgio Tresoldi and Martin Strohmeier (Cyber-Defence Campus) Presenter: Martin Strohmeier

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Folk Models of Misinformation on Social Media

Filipo Sharevski (DePaul University), Amy Devine (DePaul University), Emma Pieroni (DePaul University), Peter Jachim (DePaul University)

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