Anomaly Detection in Smart Houses for Healthcare: Recent Advances, and Future Perspectives

YM Galvão, L Castro, J Ferreira, FBL Neto… - SN Computer …, 2024 - Springer
Nowadays, device monitoring is an activity present in various different environments.
Ranging from monitoring workers in their workplaces, city traffic, surveillance in shops, to …

Early anomaly detection in smart home: A causal association rule-based approach

S Hela, B Amel, R Badran - Artificial intelligence in medicine, 2018 - Elsevier
As the world's population grows older, an increasing number of people are facing health
issues. For the elderly, living alone can be difficult and dangerous. Consequently, smart …

A Comprehensive Review of Machine Learning Approaches for Anomaly Detection in Smart Homes: Experimental Analysis and Future Directions

MM Rahman, D Gupta, S Bhatt, S Shokouhmand… - Future Internet, 2024 - mdpi.com
Detecting anomalies in human activities is increasingly crucial today, particularly in nuclear
family settings, where there may not be constant monitoring of individuals' health, especially …

Anomaly Detection in Smart Homes Based on Kitchen Activities and Machine Learning

SA Alnaqbi, HM Tawfik - 2023 16th International Conference on …, 2023 - ieeexplore.ieee.org
Anomaly detection of user behavior in smart homes is vital due to its potential impact on
improving the quality of life. Many anomaly detection systems proposed in the literature rely …

[HTML][HTML] Dataset for Cyber-Physical Anomaly Detection in Smart Homes

Y Majib, M Alosaimi, A Asaturyan… - Frontiers in the Internet of …, 2023 - frontiersin.org
The smart home concept is becoming increasingly popular, day by day, due to the abilities it
offers eg, improving quality of life of the occupants by increasing convenience, comfort …

A novel probabilistic hybrid model to detect anomaly in smart homes

S Saqaeeyan, HHS Javadi… - Computer Modeling in …, 2019 - ingentaconnect.com
Anomaly detection in smart homes provides support to enhance the health and safety of
people who live alone. Compared to the previous studies done on this topic, less attention …

Effective Anomaly Detection in Smart Home by Integrating Event Time Intervals

C Jiang, C Fu, Z Zhao, X Du - Procedia Computer Science, 2022 - Elsevier
Smart home IoT systems and devices are susceptible to attacks and malfunctions. As a
result, users' concerns about their security and safety issues arise along with the prevalence …

Anomaly detection techniques in smart city: A review from a framework perspective

OM Prabowo, SH Supangkat… - … Conference on ICT for …, 2021 - ieeexplore.ieee.org
A smart city is a notion in which a city may effectively and efficiently manage its resources in
order to improve the quality of life of its residents. With the existence of information …

A Data-Centric Anomaly-Based Detection System for Interactive Machine Learning Setups

J Bugeja, JA Persson - … Conference on Web Information Systems and …, 2022 - diva-portal.org
A major concern in the use of Internet of Things (IoT) technologies in general is their
reliability in the presence of security threats and cyberattacks. Particularly, there is a growing …

Anomaly detection in smart homes using deep learning

M Moallem, H Hassanpour, AA Pouyan - Iranica Journal of Energy & …, 2019 - ijee.net
Smart homes enable many people, especially the elderly and patients, to live alone and
maintain their independence and comfort. The realization of this goal depends on …