English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Addressing trust concerns in Smart Home (SH) systems is imperative due to thelimited study on preservation approaches that focus on analyzing and evaluatingprivacy threats for effective risk management. While most research focusesprimarily on user privacy, device data privacy, especially identity privacy, isalmost neglected, which can significantly impact overall user privacy withinthe SH system. To this end, our study incorporates privacy engineering (PE)principles in the SH system that consider user and device data privacy. Westart with a comprehensive reference model for a typical SH system. Based onthe initial stage of LINDDUN PRO for the PE framework, we present a data flowdiagram (DFD) based on a typical SH reference model to better understand SHsystem operations. To identify potential areas of privacy threat and perform aprivacy threat analysis (PTA), we employ the LINDDUN PRO threat model. Then, aprivacy impact assessment (PIA) was carried out to implement privacy riskmanagement by prioritizing privacy threats based on their likelihood ofoccurrence and potential consequences. Finally, we suggest possible privacyenhancement techniques (PETs) that can mitigate some of these threats. Thestudy aims to elucidate the main threats to privacy, associated risks, andeffective prioritization of privacy control in SH systems. The outcomes of thisstudy are expected to benefit SH stakeholders, including vendors, cloudproviders, users, researchers, and regulatory bodies in the SH systems domain.

Privacy Engineering in Smart Home (SH) Systems: A Comprehensive Privacy Threat Analysis and Risk Management Approach