Jasmin Schwab (German Aerospace Center (DLR)), Alexander Nussbaum (University of the Bundeswehr Munich), Anastasia Sergeeva (University of Luxembourg), Florian Alt (University of the Bundeswehr Munich and Ludwig Maximilian University of Munich), and Verena Distler (Aalto University)

Organizations depend on their employees’ long-term cooperation to help protect the organization from cybersecurity threats. Phishing attacks are the entry point for harmful followup attacks. The acceptance of training measures is thus crucial. Many organizations use simulated phishing campaigns to train employees to adopt secure behaviors. We conducted a preregistered vignette experiment (N=793), investigating the factors that make a simulated phishing campaign seem (un)acceptable, and their influence on employees’ intention to manipulate the campaign. In the experiment, we varied whether employees gave prior consent, whether the phishing email promised a financial incentive and the consequences for employees who clicked on the phishing link. We found that employees’ prior consent positively affected the acceptance of a simulated phishing campaign. The consequences of “employee interview” and “termination of the work contract” negatively affected acceptance. We found no statistically significant effects of consent, monetary incentive, and consequences on manipulation probability. Our results shed light on the factors influencing the acceptance of simulated phishing campaigns. Based on our findings, we recommend that organizations prioritize obtaining informed consent from employees before including them in simulated phishing campaigns and that they clearly describe their consequences. Organizations should carefully evaluate the acceptance of simulated phishing campaigns and consider alternative anti-phishing measures.

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Yanzuo Chen (The Hong Kong University of Science and Technology), Yuanyuan Yuan (The Hong Kong University of Science and Technology), Zhibo Liu (The Hong Kong University of Science and Technology), Sihang Hu (Huawei Technologies), Tianxiang Li (Huawei Technologies), Shuai Wang (The Hong Kong University of Science and Technology)

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Yi Yang (Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China; School of Cyber Security, University of Chinese Academy of Sciences, China), Jinghua Liu (Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China; School of Cyber Security, University of Chinese Academy of Sciences, China), Kai Chen (Institute of Information Engineering, Chinese Academy of…

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Repurposing Neural Networks for Efficient Cryptographic Computation

Xin Jin (The Ohio State University), Shiqing Ma (University of Massachusetts Amherst), Zhiqiang Lin (The Ohio State University)

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Ritajit Majumdar (Indian Statistical Institute), Sanchari Das (University of Denver)

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Privacy Starts with UI: Privacy Patterns and Designer Perspectives in UI/UX Practice

Anxhela Maloku (Technical University of Munich), Alexandra Klymenko (Technical University of Munich), Stephen Meisenbacher (Technical University of Munich), Florian Matthes (Technical University of Munich)

Vision: Profiling Human Attackers: Personality and Behavioral Patterns in Deceptive Multi-Stage CTF Challenges

Khalid Alasiri (School of Computing and Augmented Intelligence Arizona State University), Rakibul Hasan (School of Computing and Augmented Intelligence Arizona State University)

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Mohamed Moustafa Dawoud (University of California, Santa Cruz), Alejandro Cuevas (Princeton University), Ram Sundara Raman (University of California, Santa Cruz)