Aniqa Alam, Elizabeth Stobert, Robert Biddle (Carleton University)

This paper explores how cultural factors impact the password-sharing attitudes and practices of young Bangladeshi adults. We conducted semi-structured interviews with 24 Bangladeshi participants aged between 18 and 39 about how, why, and with whom they share passwords. Using Grounded Theory, we identified three stages of password sharing (motivations, expectations, and problems) and three cultural factors (gender identity, collectivist social norms, and religious identity) that impact password sharing in Bangladesh. We found that password sharing is pervasive, and deeply affected by Bangladeshi culture and identity. Young adults’ motivations and expectations for password sharing were complex and nuanced, and often served poorly by the tools and accounts that they were attempting to share. We found that Bangladeshi culture creates a situation in which password sharing is inevitable, but where individuals are inconvenienced and sometimes endangered by the action.

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CHKPLUG: Checking GDPR Compliance of WordPress Plugins via Cross-language...

Faysal Hossain Shezan (University of Virginia), Zihao Su (University of Virginia), Mingqing Kang (Johns Hopkins University), Nicholas Phair (University of Virginia), Patrick William Thomas (University of Virginia), Michelangelo van Dam (in2it), Yinzhi Cao (Johns Hopkins University), Yuan Tian (UCLA)

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Ethical Challenges in Blockchain Network Measurement Research

Yuzhe Tang (Syracuse University), Kai Li (San Diego State University), and Yibo Wang and Jiaqi Chen (Syracuse University)

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MetaWave: Attacking mmWave Sensing with Meta-material-enhanced Tags

Xingyu Chen (University of Colorado Denver), Zhengxiong Li (University of Colorado Denver), Baicheng Chen (University of California San Diego), Yi Zhu (SUNY at Buffalo), Chris Xiaoxuan Lu (University of Edinburgh), Zhengyu Peng (Aptiv), Feng Lin (Zhejiang University), Wenyao Xu (SUNY Buffalo), Kui Ren (Zhejiang University), Chunming Qiao (SUNY at Buffalo)

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Lightning Community Shout-Outs to:

(1) Jonathan Petit, Secure ML Performance Benchmark (Qualcomm) (2) David Balenson, The Road to Future Automotive Research Datasets: PIVOT Project and Community Workshop (USC Information Sciences Institute) (3) Jeremy Daily, CyberX Challenge Events (Colorado State University) (4) Mert D. Pesé, DETROIT: Data Collection, Translation and Sharing for Rapid Vehicular App Development (Clemson University) (5) Ning…

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