Selected High-Evidence Studies on Smart Home Security and Privacy: A Curated Literature Dataset

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Authors: Ayaz Muhammad Hanif
Cited by: 0

Abstract

This dataset contains a curated list of high-evidence academic studies related to smart home security, privacy, and access control in Internet of Things (IoT) ecosystems. The dataset compiles influential peer-reviewed works from major security and systems venues and summarizes their key contributions.Each entry includes the following attributes:Study (Author, Year): Citation information for the research work.Venue / Type: Publication venue or research type (e.g., conference, journal).Primary Smart-Home Focus: The main aspect of the smart home ecosystem investigated (e.g., permission models, device interactions, user privacy, access control).Core Contribution: A brief summary of the study’s primary research contribution.Key Takeaway for This Review: The main insight or implication derived from the study relevant to smart-home security and privacy research.The dataset is intended to support systematic reviews, literature surveys, and meta-analysis in IoT and smart home security research. It can be used by researchers, students, and practitioners interested in understanding major findings, trends, and security challenges within smart-home platforms and IoT ecosystems.

Fields of Study & Subjects

IoT-based Smart Home Systems IoT and Edge/Fog Computing Blockchain Technology Applications and Security

Publication details

Journal / source
Figshare
Publication date
13 March 2026
Language
EN
Document type
Dataset