Jens Christian Dalgaard, Niek A. Janssen, Oksana Kulyuk, Carsten Schurmann (IT University of Copenhagen)

Cybersecurity concerns are increasingly growing across different sectors globally, yet security education remains a challenge. As such, many of the current proposals suffer from drawbacks, such as failing to engage users or to provide them with actionable guidelines on how to protect their security assets in practice. In this work, we propose an approach for designing security trainings from an adversarial perspective, where the audience learns about the specific methodology of the specific methods, which attackers can use to break into IT systems. We design a platform based on our proposed approach and evaluate it in an empirical study (N = 34), showing promising results in terms of motivating users to follow security policies.

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Efficient Dynamic Proof of Retrievability for Cold Storage

Tung Le (Virginia Tech), Pengzhi Huang (Cornell University), Attila A. Yavuz (University of South Florida), Elaine Shi (CMU), Thang Hoang (Virginia Tech)

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FUZZILLI: Fuzzing for JavaScript JIT Compiler Vulnerabilities

Samuel Groß (Google), Simon Koch (TU Braunschweig), Lukas Bernhard (Ruhr-University Bochum), Thorsten Holz (CISPA Helmholtz Center for Information Security), Martin Johns (TU Braunschweig)

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ReScan: A Middleware Framework for Realistic and Robust Black-box...

Kostas Drakonakis (FORTH), Sotiris Ioannidis (Technical University of Crete), Jason Polakis (University of Illinois at Chicago)

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