Cargando…

Occupant privacy perception, awareness, and preferences in smart office environments

Building management systems tout numerous benefits, such as energy efficiency and occupant comfort but rely on vast amounts of data from various sensors. Advancements in machine learning algorithms make it possible to extract personal information about occupants and their activities beyond the inten...

Descripción completa

Detalles Bibliográficos
Autores principales:	Li, Beatrice, Tavakoli, Arash, Heydarian, Arsalan
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10008538/ https://www.ncbi.nlm.nih.gov/pubmed/36906709 http://dx.doi.org/10.1038/s41598-023-30788-5

Ejemplares similares

Building performance simulations can inform IoT privacy leaks in buildings
por: Wang, Alan, et al.
Publicado: (2023)

A Privacy-Preserving Desk Sensor for Monitoring Healthy Movement Breaks in Smart Office Environments with the Internet of Things
por: Maiti, Ananda, et al.
Publicado: (2023)

Preserving Differential Privacy for Similarity Measurement in Smart Environments
por: Wong, Kok-Seng, et al.
Publicado: (2014)

The SmartHabits: An Intelligent Privacy-Aware Home Care Assistance System
por: Grgurić, Andrej, et al.
Publicado: (2019)

Opportunities and Challenges for Chinese Elderly Care Industry in Smart Environment Based on Occupants’ Needs and Preferences
por: Meng, Qingfeng, et al.
Publicado: (2020)

On privacy-preserving protocols for smart metering systems: security and privacy in smart grids
por: Borges de Oliveira, Fábio
Publicado: (2017)

Rethinking infrastructure design: evaluating pedestrians and VRUs’ psychophysiological and behavioral responses to different roadway designs
por: Guo, Xiang, et al.
Publicado: (2023)

ConTra Preference Language: Privacy Preference Unification via Privacy Interfaces
por: Becher, Stefan, et al.
Publicado: (2022)

Energy-Efficient Privacy Protection for Smart Home Environments Using Behavioral Semantics
por: Park, Homin, et al.
Publicado: (2014)

Security and privacy in smart grid
por: Abdallah, Asmaa, et al.
Publicado: (2018)

Security and privacy in smart grids
por: Xiao, Yang
Publicado: (2013)

Data Privacy for the Smart Grid
por: Herold, Rebecca, et al.
Publicado: (2015)

Security and Privacy in Smart Grids
por: Xiao, Yang
Publicado: (2016)

An Emotion Aware Task Automation Architecture Based on Semantic Technologies for Smart Offices
por: Muñoz, Sergio, et al.
Publicado: (2018)

Security and privacy for Microsoft Office 2010 users
por: Tulloch, Mitch
Publicado: (2012)

Occupancy Prediction Using Low-Cost and Low-Resolution Heat Sensors for Smart Offices
por: Sirmacek, Beril, et al.
Publicado: (2020)

Privacy-aware and Efficient Student Clustering for Sport Training with Hash in Cloud Environment
por: Diao, Guoyan, et al.
Publicado: (2022)

Human Action Recognition in Smart Living Services and Applications: Context Awareness, Data Availability, Personalization, and Privacy
por: Diraco, Giovanni, et al.
Publicado: (2023)

Privacy-Aware Distributed Hypothesis Testing †
por: Sreekumar, Sreejith, et al.
Publicado: (2020)

Privacy Aware Incentivization for Participatory Sensing
por: Connolly, Martin, et al.
Publicado: (2019)

Privacy and Smart Speakers in Research With Older Adults
por: Quinn, Kelly, et al.
Publicado: (2021)

The Efficiency of Learning Methodology for Privacy Protection in Context-aware Environment during the COVID-19 Pandemic
por: Alawadhi, Ranya, et al.
Publicado: (2021)

Occupation for Retired Officers
Publicado: (1907)

Mobility-Aware Privacy-Preserving Mobile Crowdsourcing †
por: Qiu, Guoying, et al.
Publicado: (2021)

Work Engagement Recognition in Smart Office
por: Ma, Congcong, et al.
Publicado: (2022)

Secure and Privacy Enhanced Gait Authentication on Smart Phone
por: Hoang, Thang, et al.
Publicado: (2014)

A Non-Intrusive Approach for Indoor Occupancy Detection in Smart Environments
por: Abade, Bruno, et al.
Publicado: (2018)

SmartMedChain: A Blockchain-Based Privacy-Preserving Smart Healthcare Framework
por: El Majdoubi, Driss, et al.
Publicado: (2021)

Cyber-physical security and privacy in the electric smart grid
por: McMillin, Bruce, et al.
Publicado: (2017)

Privacy-enhancing aggregation techniques for smart grid communications
por: Lu, Rongxing
Publicado: (2016)

Compound Context-Aware Bayesian Inference Scheme for Smart IoT Environment
por: Ullah, Ihsan, et al.
Publicado: (2022)

Privacy-Aware Collaborative Learning for Skin Cancer Prediction
por: Ain, Qurat ul, et al.
Publicado: (2023)

Perceived Indoor Environment and Occupants’ Comfort in European “Modern” Office Buildings: The OFFICAIR Study
por: Sakellaris, Ioannis A., et al.
Publicado: (2016)

Channel Characteristic Aware Privacy Protection Mechanism in WBAN
por: Zhang, Puning, et al.
Publicado: (2018)

Privacy-aware multi-institutional time-to-event studies
por: Späth, Julian, et al.
Publicado: (2022)

Privacy-Preserving Overgrid: Secure Data Collection for the Smart Grid
por: Croce, Daniele, et al.
Publicado: (2020)

PRASH: A Framework for Privacy Risk Analysis of Smart Homes
por: Bugeja, Joseph, et al.
Publicado: (2021)

Cyber security challenges in Smart Cities: Safety, security and privacy
por: Elmaghraby, Adel S., et al.
Publicado: (2014)

PyFF: A Fog-Based Flexible Architecture for Enabling Privacy-by-Design IoT-Based Communal Smart Environments †
por: Benhamida, Fatima Zohra, et al.
Publicado: (2021)

Federated Learning for Privacy-Aware Human Mobility Modeling
por: Ezequiel, Castro Elizondo Jose, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_cq2kkukh4andjmd02sd1k0407p