A secure and efficient IIoT anomaly detection approach using a hybrid deep learning technique
BR Konatham - 2023 - corescholar.libraries.wright.edu
Abstract The Industrial Internet of Things (IIoT) refers to a set of smart devices, ie, actuators,
detectors, smart sensors, and autonomous systems connected throughout the Internet to …
detectors, smart sensors, and autonomous systems connected throughout the Internet to …
Realtime Feature Engineering for Anomaly Detection in IoT Based MQTT Networks
The MQTTset dataset has been extensively investigated for enhancing anomaly detection in
IoT-based systems, with a focus on identifying Denial of Service (DoS) attacks. The research …
IoT-based systems, with a focus on identifying Denial of Service (DoS) attacks. The research …
Extensive Analysis of IoT Assisted Fake Currency Detection using Novel Learning Scheme
K Sundravadivelu, PG Senthilvel… - 2023 Second …, 2023 - ieeexplore.ieee.org
A person with normal vision can readily read and differentiate between different banknotes,
while a person with visual impairment or blindness would have a far more difficult time doing …
while a person with visual impairment or blindness would have a far more difficult time doing …
Anomaly Detection for Space Information Networks: A Survey of Challenges, Schemes, and Recommendations
Space anomaly detection is of paramount importance in ensuring the safety and reliability of
space systems, particularly in the face of increasing threats. This comprehensive survey …
space systems, particularly in the face of increasing threats. This comprehensive survey …
[PDF][PDF] Machine Learning-Based Efficient Discovery of Software Vulnerability for Internet of Things.
With the development of the 5th generation of mobile communication (5G) networks and
artificial intelligence (AI) technologies, the use of the Internet of Things (IoT) has expanded …
artificial intelligence (AI) technologies, the use of the Internet of Things (IoT) has expanded …
[HTML][HTML] Enhancing IoT Security: Optimizing Anomaly Detection through Machine Learning
As the Internet of Things (IoT) continues to evolve, securing IoT networks and devices
remains a continuing challenge. Anomaly detection is a crucial procedure in protecting the …
remains a continuing challenge. Anomaly detection is a crucial procedure in protecting the …
Collaborative Cybersecurity Using Blockchain: A Survey
Collaborative cybersecurity relies on organizations sharing information to boost security, but
trust management is a key concern. Decentralized solutions like distributed ledgers …
trust management is a key concern. Decentralized solutions like distributed ledgers …
Anomaly-based cyberattacks detection for smart homes: A systematic literature review
JI Iturbe Araya, H Rifà-Pous - Internet of Things, 2023, Vol. 22 …, 2023 - openaccess.uoc.edu
Smart homes, leveraging IoT technology to interconnect various devices and appliances to
the internet, enable remote monitoring, automation, and control. However, collecting …
the internet, enable remote monitoring, automation, and control. However, collecting …
An Anomaly Intrusion Detection Systems in IoT Based on Autoencoder: A Review
MA Alsoufi, MM Siraj, FA Ghaleb… - … Conference of Reliable …, 2023 - Springer
Devices connected to the Internet of Things are expanding quickly and producing tons of
data. Simultaneously, malicious attempts to gain access to sensitive data or disrupt networks …
data. Simultaneously, malicious attempts to gain access to sensitive data or disrupt networks …
Anomaly detection and oversampling approach for classifying imbalanced data using CLUBS technique in IoT healthcare data
S Subha, JGR Sathiaseelan - International Journal of …, 2023 - inderscienceonline.com
Multiple data streams from sensing devices in intelligent settings have improved life quality
thanks to the internet of things (IoT). Anomalies and imbalanced data sources are …
thanks to the internet of things (IoT). Anomalies and imbalanced data sources are …