Simon Parkin (TU Delft), Kristen Kuhn, Siraj Ahmed Shaikh (Coventry University)

The motivation for corporate leadership to engage with cyber risks is increasingly clear. Stories can be seen of cyber incidents which have crippled large-scale businesses, potentially for extended periods of time and at significant cost. Our contribution here explores a much under-researched area — perceptions of cybersecurity and cyber risk at the highest levels of an organisation — with the aim of developing a structured, scenario-driven and repeatable exercise for executive decision makers. We attempt to understand why cyber risk perception is an important concept but equally a challenging one to grasp. We address this by demonstrating an approach to risk articulation, in terms of systematically constructed scenarios, and assess whether this resonates with decision-makers. As part of this, we also attempt to assess cyber-risk decision-makers for their perception of wider business risks and stakeholders.

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Reinforcement Learning-based Hierarchical Seed Scheduling for Greybox Fuzzing

Jinghan Wang (University of California, Riverside), Chengyu Song (University of California, Riverside), Heng Yin (University of California, Riverside)

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Security Advice on Content Filtering and Circumvention for Parents...

Ran Elgedawy (The University of Tennessee, Knoxville), John Sadik (The University of Tennessee, Knoxville), Anuj Gautam (The University of Tennessee, Knoxville), Trinity Bissahoyo (The University of Tennessee, Knoxville), Christopher Childress (The University of Tennessee, Knoxville), Jacob Leonard (The University of Tennessee, Knoxville), Clay Shubert (The University of Tennessee, Knoxville), Scott Ruoti (The University of Tennessee,…

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A Phish Scale: Rating Human Phishing Message Detection Difficulty

Michelle P. Steves, Kristen K. Greene, Mary F. Theofanos (National Institute of Standards and Technology)

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icLibFuzzer: Isolated-context libFuzzer for Improving Fuzzer Comparability

Yu-Chuan Liang, Hsu-Chun Hsiao (National Taiwan University)

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