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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Location Data and COVID-19 Contact Tracing: How Data Privacy...

Callie Monroe, Faiza Tazi, Sanchari Das (university of Denver)

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WATSON: Abstracting Behaviors from Audit Logs via Aggregation of...

Jun Zeng (National University of Singapore), Zheng Leong Chua (Independent Researcher), Yinfang Chen (National University of Singapore), Kaihang Ji (National University of Singapore), Zhenkai Liang (National University of Singapore), Jian Mao (Beihang University)

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“I wanted to buy Robux but got scammed for...

Lily Klucinec (Carnegie Mellon University), Ellie Young (Carnegie Mellon University), Elijah Bouma-Sims (Carnegie Mellon University), Lorrie Faith Cranor (Carnegie Mellon University)

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From Library Portability to Para-rehosting: Natively Executing Microcontroller Software...

Wenqiang Li (State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences; Department of Computer Science, the University of Georgia, USA; School of Cyber Security, University of Chinese Academy of Sciences; Department of Electrical Engineering and Computer Science, the University of Kansas, USA), Le Guan (Department of Computer Science, the University…

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