تقرير
Security and Privacy Product Inclusion
العنوان: | Security and Privacy Product Inclusion |
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المؤلفون: | Kleidermacher, Dave, Arriaga, Emmanuel, Wang, Eric, Porst, Sebastian, Jover, Roger Piqueras |
سنة النشر: | 2024 |
المجموعة: | Computer Science |
مصطلحات موضوعية: | Computer Science - Cryptography and Security, Computer Science - Machine Learning |
الوصف: | In this paper, we explore the challenges of ensuring security and privacy for users from diverse demographic backgrounds. We propose a threat modeling approach to identify potential risks and countermeasures for product inclusion in security and privacy. We discuss various factors that can affect a user's ability to achieve a high level of security and privacy, including low-income demographics, poor connectivity, shared device usage, ML fairness, etc. We present results from a global security and privacy user experience survey and discuss the implications for product developers. Our work highlights the need for a more inclusive approach to security and privacy and provides a framework for researchers and practitioners to consider when designing products and services for a diverse range of users. |
نوع الوثيقة: | Working Paper |
URL الوصول: | http://arxiv.org/abs/2404.13220 |
رقم الأكسشن: | edsarx.2404.13220 |
قاعدة البيانات: | arXiv |
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