Outlier detection approaches based on machine learning in the internet-of-things
Outlier detection in the Internet of Things (IoT) is an essential challenge issue studied in
numerous fields, including fraud monitoring, intrusion detection, secure localization, trust …
numerous fields, including fraud monitoring, intrusion detection, secure localization, trust …
Detecting sensor faults, anomalies and outliers in the internet of things: A survey on the challenges and solutions
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 …
paradigm to interact with the physical world in this Industry 4.0 era. The IoTs are being used …
NODSTAC: novel outlier detection technique based on spatial, temporal and attribute correlations on IoT Bigdata
MV Brahmam, S Gopikrishnan - The Computer Journal, 2024 - academic.oup.com
An outlier in the Internet of Things is an immediate change in data induced by a significant
difference in the atmosphere (Event) or sensor malfunction (Error). Outliers in the data cause …
difference in the atmosphere (Event) or sensor malfunction (Error). Outliers in the data cause …
Scalable and robust outlier detector using hierarchical clustering and long short-term memory (lstm) neural network for the internet of things
RM Shukla, S Sengupta - Internet of Things, 2020 - Elsevier
The emerging centralized entities, like cloud, edge, or Software-Defined Network (SDN),
make automated decisions for the Internet of Things (IoT) applications based on the …
make automated decisions for the Internet of Things (IoT) applications based on the …
An LSTM-based outlier detection approach for IoT sensor data in hierarchical Edge Computing
Outlier detection in sensor data has recently gained significant recognition, particularly with
the proliferation of wireless sensor networks (WSNs) and the Internet of Things (IoT). Several …
the proliferation of wireless sensor networks (WSNs) and the Internet of Things (IoT). Several …
Outlier detection technique for IoT sensor-driven big data systems
With the development of big data analysis technologies and the utilization of sensor data
through Internet of Things (IoT) and wireless sensor networks (WSNs), users can easily …
through Internet of Things (IoT) and wireless sensor networks (WSNs), users can easily …
An efficient outlier detection and classification clustering-based approach for WSN
Wireless Sensor Network (WSN) is one of the main components of the Internet of things (IoT)
for gathering information and monitoring the environment in a variety of applications …
for gathering information and monitoring the environment in a variety of applications …
An optimized multilayer outlier detection for internet of things (IoT) network as industry 4.0 automation and data exchange
In this work, a multilayered, multidimensional outlier detection mechanism is proposed. The
multilayered system consists of: ultra-lightweight, lightweight and heavyweight detection …
multilayered system consists of: ultra-lightweight, lightweight and heavyweight detection …
A mobile edge–cloud collaboration outlier detection framework in wireless sensor networks
C Gao, G Song, Z Wang, Y Chen - IET Communications, 2021 - Wiley Online Library
Wireless sensor networks (WSNs) are extensively deployed to collect various data. Due to
harsh environments and limitation of computing and communication capabilities of sensor …
harsh environments and limitation of computing and communication capabilities of sensor …
Outlier detection with optimal hybrid deep learning enabled intrusion detection system for ubiquitous and smart environment
M Ragab, MFS Sabir - Sustainable Energy Technologies and Assessments, 2022 - Elsevier
Ubiquitous system returns to making pervasive computing in daily lives, the objects of smart
environment becomes intelligent and interconnect without anyone being conscious of the …
environment becomes intelligent and interconnect without anyone being conscious of the …