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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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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OBSan: An Out-Of-Bound Sanitizer to Harden DNN Executables

Yanzuo Chen (The Hong Kong University of Science and Technology), Yuanyuan Yuan (The Hong Kong University of Science and Technology), Shuai Wang (The Hong Kong University of Science and Technology)

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Security Advice on Content Filtering and Circumvention for Parents...

Ran Elgedawy (The University of Tennessee, Knoxville), John Sadik (The University of Tennessee, Knoxville), Anuj Gautam (The University of Tennessee, Knoxville), Trinity Bissahoyo (The University of Tennessee, Knoxville), Christopher Childress (The University of Tennessee, Knoxville), Jacob Leonard (The University of Tennessee, Knoxville), Clay Shubert (The University of Tennessee, Knoxville), Scott Ruoti (The University of Tennessee,…

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Analyzing the Patterns and Behavior of Users When Detecting...

Nick Ceccio, Naman Gupta, Majed Almansoori, Rahul Chatterjee (University of Wisconsin-Madison)

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