Ashley Sheil (Munster Technological University), Jacob Camilleri (Munster Technological University), Michelle O Keeffe (Munster Technological University), Melanie Gruben (Munster Technological University), Moya Cronin (Munster Technological University) and Hazel Murray (Munster Technological University)

Based on Irish older adult’s perceptions, practices, and challenges regarding password management, the goal of this study was to compile suitable advice that can benefit this demographic. To achieve this, we first conducted semi structured interviews (n=37), we then collated advice based on best practice and what we learned from these interviews. We facilitated two independent focus groups (n=31) to evaluate and adjust this advice and tested the finalized advice through an observational study (n=15). The participants were aged between 59 and 86 and came from various counties in Ireland, both rural and urban. The findings revealed that managing multiple passwords was a significant source of frustration, leading some participants to adopt novel and informal strategies for storing them. A notable hesitation to adopt digital password managers and passphrases was also observed. Participants appreciated guidance on improving their password practices, with many affirming that securely writing down passwords was a practical strategy. Irish older adults demonstrated strong intuition regarding cybersecurity, notably expressing concerns over knowledge-based security checks used by banks and government institutions. This study aims to contribute to the aggregation of practical password advice suited to older adults, making password security more manageable and less burdensome for this demographic.

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Arjun Arunasalam (Purdue University), Habiba Farrukh (University of California, Irvine), Eliz Tekcan (Purdue University), Z. Berkay Celik (Purdue University)

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Anqi Tian (Institute of Software, Chinese Academy of Sciences; School of Computer Science and Technology, University of Chinese Academy of Sciences), Peifang Ni (Institute of Software, Chinese Academy of Sciences; Zhongguancun Laboratory, Beijing, P.R.China), Yingzi Gao (Institute of Software, Chinese Academy of Sciences; University of Chinese Academy of Sciences), Jing Xu (Institute of Software, Chinese…

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Rondo: Scalable and Reconfiguration-Friendly Randomness Beacon

Xuanji Meng (Tsinghua University), Xiao Sui (Shandong University), Zhaoxin Yang (Tsinghua University), Kang Rong (Blockchain Platform Division,Ant Group), Wenbo Xu (Blockchain Platform Division,Ant Group), Shenglong Chen (Blockchain Platform Division,Ant Group), Ying Yan (Blockchain Platform Division,Ant Group), Sisi Duan (Tsinghua University)

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