Curated High-Evidence Studies on Smart Home Security and Privacy

A curated dataset of high-evidence academic studies on smart home security, privacy, and access control in IoT ecosystems. It compiles influential peer-reviewed works from major security venues, summarizing each study's core contribution and key takeaway. The dataset supports systematic reviews and meta-analysis in IoT security research.

Use Cases

• Analyze publication trends and research focus by mapping Venue / Type against Primary Smart-Home Focus categories.
• Extract and synthesize major findings for a literature survey by analyzing the Core Contribution summaries.
• Identify key research implications for smart-home security by clustering studies based on their Key Takeaway for This Review.
• Build a citation network or knowledge base for IoT security using the Study (Author, Year) citation information.

Strengths

• Dataset is curated to include only high-evidence, influential peer-reviewed works from major security venues.
• Each entry includes structured summaries of Core Contribution and Key Takeaway for systematic analysis.
• Released under a CC0 public domain license for maximum reuse and redistribution.

Limitations

• The dataset is very small at 8.2 KB, indicating a limited, non-exhaustive collection of studies.
• The row count and temporal coverage of the included studies are unknown, limiting scope assessment.
• As a curated list, it reflects the compiler's selection criteria and may not represent the entire field.

Provenance

Source

Author Ayaz Muhammad Hanif, via figshare.

Collection Method

Curated compilation of influential peer-reviewed works from major security and systems venues.

Time Range

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Freshness

Last updated March 13, 2026.

Geography

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