Asangi Jayatilaka (Centre for Research on Engineering Software Technologies (CREST), The University of Adelaide, School of Computing Technologies, RMIT University), Nalin Asanka Gamagedara Arachchilage (School of Computer Science, The University of Auckland), M. Ali Babar (Centre for Research on Engineering Software Technologies (CREST), The University of Adelaide)

Despite technical and non-technical countermeasures, humans continue to be tricked by phishing emails. How users make email response decisions is a missing piece in the puzzle to identifying why people still fall for phishing emails. We conducted an empirical study using a think-aloud method to investigate how people make ‘response decisions’ while reading emails. The grounded theory analysis of the in-depth qualitative data has enabled us to identify different elements of email users’ decision-making that influence their email response decisions. Furthermore, we developed a theoretical model that explains how people could be driven to respond to emails based on the identified elements of users’ email decision-making processes and the relationships uncovered from the data. The findings provide deeper insights into phishing email susceptibility due to people’s email response decision-making behavior. We also discuss the implications of our findings for designers and researchers working in anti-phishing training, education, and awareness interventions.

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Certificate Transparency Revisited: The Public Inspections on Third-party Monitors

Aozhuo Sun (Institute of Information Engineering, Chinese Academy of Sciences), Jingqiang Lin (School of Cyber Science and Technology, University of Science and Technology of China), Wei Wang (Institute of Information Engineering, Chinese Academy of Sciences), Zeyan Liu (The University of Kansas), Bingyu Li (School of Cyber Science and Technology, Beihang University), Shushang Wen (School of…

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DynPRE: Protocol Reverse Engineering via Dynamic Inference

Zhengxiong Luo (Tsinghua University), Kai Liang (Central South University), Yanyang Zhao (Tsinghua University), Feifan Wu (Tsinghua University), Junze Yu (Tsinghua University), Heyuan Shi (Central South University), Yu Jiang (Tsinghua University)

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Parrot-Trained Adversarial Examples: Pushing the Practicality of Black-Box Audio...

Rui Duan (University of South Florida), Zhe Qu (Central South University), Leah Ding (American University), Yao Liu (University of South Florida), Zhuo Lu (University of South Florida)

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The CURE to Vulnerabilities in RPKI Validation

Donika Mirdita (Technische Universität Darmstadt), Haya Schulmann (Goethe-Universität Frankfurt), Niklas Vogel (Goethe-Universität Frankfurt), Michael Waidner (Technische Universität Darmstadt, Fraunhofer SIT)

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