This course aims to explore users' security and privacy perceptions regarding Smart Home Personal Assistants (SPA) like Amazon Echo and Google Home. The learning outcomes include understanding users' incomplete mental models of SPA, their limited understanding of the SPA ecosystem, incomplete threat models, and non-technical coping strategies. The course teaches about data processing, storage, and sharing in the SPA ecosystem, as well as user perceptions, threat types, coping strategies, and gaining users' trust. The teaching method involves a grounded theory approach based on semi-structured interviews with SPA users. The course is intended for individuals interested in understanding user perceptions of security and privacy in the context of Smart Home Personal Assistants.
More than Smart Speakers - Security and Privacy Perceptions of Smart Home Personal Assistants
Overview
Syllabus
Introduction
Statistics
SP Ecosystem Overview
Findings
Methodology
Theory Approach
Building Skills
Results
SBA
User Perception of the SOUPS Ecosystem
Data Processing
Data Storage
Data Sharing
Users Perception
Agents and Threat Types
Coping Strategies
Gaining Users Trust
Disabling Features
Taught by
USENIX
