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

• URL: http://arxiv.org/abs/2510.24072v1
• Date: Tue, 28 Oct 2025 05:10:10 GMT
• Title: Covert Surveillance in Smart Devices: A SCOUR Framework Analysis of Youth Privacy Implications
• Authors: Austin Shouli, Yulia Bobkova, Ajay Kumar Shrestha,
• Abstract summary: Findings reveal that smart devices have been covertly capturing personal data, especially with smart toys and voice-activated smart gadgets built for youth.<n>These issues are worsened by unclear data collection practices and insufficient transparency in smart device applications.<n>Findings have significant implications for policy development and the transparency of data collection for smart devices.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• 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.

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