Sijie Zhuo (University of Auckland), Robert Biddle (University of Auckland and Carleton University, Ottawa), Lucas Betts, Nalin Asanka Gamagedara Arachchilage, Yun Sing Koh, Danielle Lottridge, Giovanni Russello (University of Auckland)

Phishing is when social engineering is used to deceive a person into sharing sensitive information or downloading malware. Research on phishing susceptibility has focused on personality traits, demographics, and design factors related to the presentation of phishing. There is very little research on how a person’s state of mind might impact outcomes of phishing attacks. We conducted a scenario-based in-lab experiment with 26 participants to examine whether workload affects risky cybersecurity behaviours. Participants were tasked to manage 45 emails for 30 minutes, which included 4 phishing emails. We found that, under high workload, participants had higher physiological arousal and longer fixations, and spent half as much time reading email compared to low workload. There was no main effect for workload on phishing clicking, however a post-hoc analysis revealed that participants were more likely to click on task-relevant phishing emails compared to non-relevant phishing emails during high workload whereas there was no difference during low workload. We discuss the implications of state of mind and attention related to risky cybersecurity behaviour.

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Powers of Tau in Asynchrony

Sourav Das (University of Illinois at Urbana-Champaign), Zhuolun Xiang (Aptos), Ling Ren (University of Illinois at Urbana-Champaign)

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Analyzing the Patterns and Behavior of Users When Detecting...

Nick Ceccio, Naman Gupta, Majed Almansoori, Rahul Chatterjee (University of Wisconsin-Madison)

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Leaking the Privacy of Groups and More: Understanding Privacy...

Jiangrong Wu (Sun Yat-sen University), Yuhong Nan (Sun Yat-sen University), Luyi Xing (Indiana University Bloomington), Jiatao Cheng (Sun Yat-sen University), Zimin Lin (Alibaba Group), Zibin Zheng (Sun Yat-sen University), Min Yang (Fudan University)

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WIP: A Trust Assessment Method for In-Vehicular Networks using...

Artur Hermann, Natasa Trkulja (Ulm University - Institute of Distributed Systems), Anderson Ramon Ferraz de Lucena, Alexander Kiening (DENSO AUTOMOTIVE Deutschland GmbH), Ana Petrovska (Huawei Technologies), Frank Kargl (Ulm University - Institute of Distributed Systems)

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