Julie Haney, Clyburn Cunningham, Susanne Furman (National Institute of Standards and Technology)

The “research-practice gap” can prevent the application of valuable research insights into practice. While the gap has been studied in several fields, it is unclear if prior findings and recommendations apply to human-centered cybersecurity (HCC), which may have its own challenges due to the unique characteristics of the cybersecurity field. Overcoming the gap in HCC is especially important given the large role of human behavior in cybersecurity outcomes. As a starting point for understanding this potential gap, we conducted a survey of 152 cybersecurity practitioners. We found that, while participants see the value in and are eager to receive and integrate HCC insights, they experienced a number of challenges in doing so. Based on our results, we discuss implications of our results, including how we extend prior research-practice work, suggestions for how to better support practitioners in integrating HCC into their work, and foundations for future work to explore meaningful solutions.

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WIP: Security Vulnerabilities and Attack Scenarios in Smart Home...

Haoqiang Wang (Chinese Academy of Sciences, University of Chinese Academy of Sciences, Indiana University Bloomington), Yichen Liu (Indiana University Bloomington), Yiwei Fang, Ze Jin, Qixu Liu (Chinese Academy of Sciences, University of Chinese Academy of Sciences, Indiana University Bloomington), Luyi Xing (Indiana University Bloomington)

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PriSrv: Privacy-Enhanced and Highly Usable Service Discovery in Wireless...

Yang Yang (School of Computing and Information Systems, Singapore Management University, Singapore), Robert H. Deng (School of Computing and Information Systems, Singapore Management University, Singapore), Guomin Yang (School of Computing and Information Systems, Singapore Management University, Singapore), Yingjiu Li (Department of Computer Science, University of Oregon, USA), HweeHwa Pang (School of Computing and Information Systems,…

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CrowdGuard: Federated Backdoor Detection in Federated Learning

Phillip Rieger (Technical University of Darmstadt), Torsten Krauß (University of Würzburg), Markus Miettinen (Technical University of Darmstadt), Alexandra Dmitrienko (University of Würzburg), Ahmad-Reza Sadeghi (Technical University of Darmstadt)

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