Privacy and Security Analysis

Smart Security Camera Privacy Analysis:

• Static analysis tools to identify app permissions and tracking services.
• Dynamic analysis through network traffic monitoring with Ettercap to capture communications between devices and apps.
• Privacy notice analysis to evaluate transparency and user control over privacy settings.

Scope Review (Technology-facilitated abuse in smart homes):

• Scoping review methodology guided by Arksey and O’Malley’s five-step framework.
• Mapping existing research on smart home harms (privacy/security), risks, vulnerabilities, and policy solutions.
• Data analysis of studies and findings through a multidisciplinary approach (social sciences, law, human-computer interaction, etc.).

Data Collection through Interactive Methods

Privacy Quest:

• Arcade machine interface built using Raspberry Pi, presenting users with data-processing examples.
• Interactive game collecting user responses, indicating concern levels about data privacy scenarios.
• Aggregating responses and comparing them with GDPR classifications to analyse public perception of data sensitivity.

Workshops (Smart Home Case Study):

• Data analysis through reflexive thematic analysis to identify patterns and themes.
• Focus groups and participatory co-research with stakeholders (researchers, support service representatives, and individuals with lived experience).
• Storyboarding techniques and co-design workshops to gather insights on smart home harms.

Modelling and Simulation

Federated Learning:

• Computer simulations using real-world energy usage datasets to compare forecasting methods (centralised, local, and federated learning).
• Simulation of trade-offs between privacy, predictive accuracy, and computational efficiency to assess Federated Learning’s effectiveness in preserving privacy while enabling energy forecasting.

PoliPoly Development:

• Use of personalised surveys to capture user concerns, which are integrated into visualisations for assessing privacy risks.
• Review of privacy policies to create a legal ontology.
• Integration of ChatGPT to parse policy text for ontology polymorphism, enabling easy updates without retraining.

Review and Analysis of Existing Practices

Scope Review (Technology-facilitated abuse in smart homes):

• Cross-disciplinary collaboration to highlight research gaps and provide recommendations for addressing smart home harms.
• Scoping review methodology to identify and summarise studies on technology-facilitated abuse, privacy risks, and harms in smart homes.