Anomaly Detection in IoT Networks Based on Intelligent Security Event Correlation
Modern Internet of Things networks combine many devices and sensors that transmit and
process large amounts of data. Security tools identify security events that contain information …
process large amounts of data. Security tools identify security events that contain information …
Exploring the Use of Data-Driven Approaches for Anomaly Detection in the Internet of Things (IoT) Environment
The Internet of Things (IoT) is a system that connects physical computing devices, sensors,
software, and other technologies. Data can be collected, transferred, and exchanged with …
software, and other technologies. Data can be collected, transferred, and exchanged with …
A novel machine learning pipeline to detect malicious anomalies for the Internet of Things
RM Shukla, S Sengupta - Internet of Things, 2022 - Elsevier
Anomaly detection is an imperative problem in the field of the Internet of Things (IoT). The
anomalies are considered as samples that do not follow a normal pattern and significantly …
anomalies are considered as samples that do not follow a normal pattern and significantly …
Machine learning approaches for anomaly detection in IoT: an overview and future research directions
N Alghanmi, R Alotaibi, SM Buhari - Wireless Personal Communications, 2022 - Springer
The internet of things (IoT) is the networking of interrelated devices and sensors connected
through the internet to transfer and share data. The data gathered from these devices may …
through the internet to transfer and share data. The data gathered from these devices may …
Anomaly detection/prediction for the internet of things: State of the art and the future
XX Lin, P Lin, EH Yeh - IEEE Network, 2020 - ieeexplore.ieee.org
Anomaly detection/prediction is the first step to secure IoT systems. It usually relies on wide
domain knowledge to build up the tools to automatically detect/predict abnormal events or …
domain knowledge to build up the tools to automatically detect/predict abnormal events or …
A Deep Learning Based Anomaly Detection Model for IoT Networks
LE Dai, X Wang, SB Xu - International Conference on Internet of Things …, 2023 - Springer
Abstract Internet of Things (IoT) has demonstrated tremendous advantages in various
industry and research fields. The IoT device number rapidly increased, followed by more …
industry and research fields. The IoT device number rapidly increased, followed by more …
IMEO: Anomaly Detection for IoT Devices using Semantic-based Correlations.
S Oh, J Hong, D Kim, EK Lee… - International Journal of …, 2024 - search.ebscohost.com
Abstract In the Internet of Things (IoT) security, anomalies due to attacks or device
malfunctions can have serious consequences in our daily lives. Previous solutions have …
malfunctions can have serious consequences in our daily lives. Previous solutions have …
Explainable Anomaly Detection in IoT Networks
Z Jadidi, S Pal - Emerging Smart Technologies for Critical Infrastructure, 2023 - Springer
Due to the increasing number of threats against Cyber Physical System (CPS) networks,
security monitoring in these networks is challenging. Machine learning methods have been …
security monitoring in these networks is challenging. Machine learning methods have been …
A comparative study of machine learning based anomaly detection for IoT data using SPARK
M Sisodia - AIP Conference Proceedings, 2022 - pubs.aip.org
Internet of Thing (IoT) environment deals with large amounts of data from sensors and other
things. The main problem with Internet of Things based applications right now, is security …
things. The main problem with Internet of Things based applications right now, is security …
Anomalies Detection on Contemporary Industrial Internet of Things Data for Securing Crucial Devices
S Bhattacharya, M Pandey - … on Advances in Computer Engineering and …, 2023 - Springer
The industrial Internet of things (IIoT) is a framework that enables companies to improve their
processes and increase their efficiency by using smart sensors and actuators. It is also used …
processes and increase their efficiency by using smart sensors and actuators. It is also used …