Detecting sensor faults, anomalies and outliers in the internet of things: A survey on the challenges and solutions

A Gaddam, T Wilkin, M Angelova, J Gaddam - Electronics, 2020 - mdpi.com
The Internet of Things (IoT) has gained significant recognition to become a novel sensing
paradigm to interact with the physical world in this Industry 4.0 era. The IoTs are being used …

{HAWatcher}:{Semantics-Aware} anomaly detection for appified smart homes

C Fu, Q Zeng, X Du - … USENIX Security Symposium (USENIX Security 21 …, 2021 - usenix.org
As IoT devices are integrated via automation and coupled with the physical environment,
anomalies in an appified smart home, whether due to attacks or device malfunctions, may …

A systematic survey on sensor failure detection and fault-tolerance in ambient assisted living

NE ElHady, J Provost - Sensors, 2018 - mdpi.com
Ambient Assisted Living (AAL) systems aim to enable the elderly people to stay active and
live independently into older age by monitoring their behaviour, provide the needed …

Detecting and identifying faulty IoT devices in smart home with context extraction

J Choi, H Jeoung, J Kim, Y Ko, W Jung… - 2018 48th annual …, 2018 - ieeexplore.ieee.org
A fast and reliable method to detect faulty IoT devices is indispensable in IoT environments.
In this paper, we present DICE, an automatic method to detect and identify faulty IoT devices …

A scalable and manageable IoT architecture based on transparent computing

H Guo, J Ren, D Zhang, Y Zhang, J Hu - Journal of Parallel and Distributed …, 2018 - Elsevier
With the explosion of connected devices, the Internet-of-Things (IoT) is expected to be the
fundamental infrastructure of the information society and receives a wide variety of …

Detecting state changes of indoor everyday objects using Wi-Fi channel state information

K Ohara, T Maekawa, Y Matsushita - … of the ACM on interactive, mobile …, 2017 - dl.acm.org
Detecting the events of indoor everyday objects such as door or window open/close events
has been actively studied to implement such applications as intrusion detection, adaptive …

Fine-grained recognition of activities of daily living through structural vibration and electrical sensing

S Pan, M Berges, J Rodakowski, P Zhang… - Proceedings of the 6th …, 2019 - dl.acm.org
Fine-grained non-intrusive monitoring of activities of daily living (ADL) enables various smart
building applications, including ADL pattern assessments for older adults at risk for loss of …

EdgeOS_H: a home operating system for internet of everything

J Cao, L Xu, R Abdallah, W Shi - 2017 IEEE 37th international …, 2017 - ieeexplore.ieee.org
The proliferation of Internet of Everything (IoE) and the success of rich Cloud services have
pushed the horizon of a new computing paradigm, Edge Computing, which calls for …

Hivemind: social control-and-use of IoT towards democratization of public spaces

W Kim, S Lee, Y Chang, T Lee, I Hwang… - Proceedings of the 19th …, 2021 - dl.acm.org
Public spaces are equipped with'public actuators', eg, HVAC, lighting fixtures, speakers, or
streaming TV channels to ensure their visitors' comfort. However, many public actuators …

Graph learning for interactive threat detection in heterogeneous smart home rule data

G Wang, N Ivanov, B Chen, Q Wang… - Proceedings of the …, 2023 - dl.acm.org
The interactions among automation configuration rule data have led to undesired and
insecure issues in smart homes, which are known as interactive threats. Most existing …