Covert Surveillance in Smart Devices: A SCOUR Framework Analysis of Youth Privacy Implications

TL;DR

This paper introduces the SCOUR framework to analyze how smart devices covertly capture youth data, highlighting privacy concerns, data practices, and proposing safeguards to improve transparency and policy.

Contribution

The paper presents the SCOUR framework for structured analysis of covert data collection in smart devices, focusing on youth privacy implications and mitigation strategies.

Findings

Smart devices, especially for youth, covertly capture personal data.

Data collection practices are often unclear and lack transparency.

Enhanced regulatory and technical safeguards are needed.

Abstract

This paper investigates how smart devices covertly capture private conversations and discusses in more in-depth the implications of this for youth privacy. Using a structured review guided by the PRISMA methodology, the analysis focuses on privacy concerns, data capture methods, data storage and sharing practices, and proposed technical mitigations. To structure and synthesize findings, we introduce the SCOUR framework, encompassing Surveillance mechanisms, Consent and awareness, Operational data flow, Usage and exploitation, and Regulatory and technical safeguards. Findings reveal that smart devices have been covertly capturing personal data, especially with smart toys and voice-activated smart gadgets built for youth. These issues are worsened by unclear data collection practices and insufficient transparency in smart device applications. Balancing privacy and utility in smart devices is crucial, as youth are becoming more aware of privacy breaches and value their personal data more. Strategies to improve regulatory and technical safeguards are also provided. The review identifies research gaps and suggests future directions. The limitations of this literature review are also explained. The findings have significant implications for policy development and the transparency of data collection for smart devices.