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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Symphony: Path Validation at Scale

Anxiao He (Zhejiang University), Jiandong Fu (Zhejiang University), Kai Bu (Zhejiang University), Ruiqi Zhou (Zhejiang University), Chenlu Miao (Zhejiang University), Kui Ren (Zhejiang University)

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Enhance Stealthiness and Transferability of Adversarial Attacks with Class...

Hui Xia (Ocean University of China), Rui Zhang (Ocean University of China), Zi Kang (Ocean University of China), Shuliang Jiang (Ocean University of China), Shuo Xu (Ocean University of China)

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Pisces: Private and Compliable Cryptocurrency Exchange

Ya-Nan Li (The University of Sydney), Tian Qiu (The University of Sydney), Qiang Tang (The University of Sydney)

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Eavesdropping on Black-box Mobile Devices via Audio Amplifier's EMR

Huiling Chen (College of Computer Science and Electronic Engineering, Hunan University, Changsha, China), Wenqiang Jin (College of Computer Science and Electronic Engineering, Hunan University, Changsha, China), Yupeng Hu (College of Computer Science and Electronic Engineering, Hunan University, Changsha, China), Zhenyu Ning (College of Computer Science and Electronic Engineering, Hunan University, Changsha, China), Kenli Li (College…

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