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 …

Realtime Feature Engineering for Anomaly Detection in IoT Based MQTT Networks

MF Zuhairi, SM Ali, Z Shahid, MM Alam… - IEEE …, 2024 - ieeexplore.ieee.org
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 …

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 …

Anomaly Detection for Space Information Networks: A Survey of Challenges, Schemes, and Recommendations

A Diro, S Kaisar, AV Vasilakos, A Anwar, A Nasirian… - 2023 - dro.deakin.edu.au
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 …

[PDF][PDF] Machine Learning-Based Efficient Discovery of Software Vulnerability for Internet of Things.

SE Jeon, SJ Lee, IG Lee - Intelligent Automation & Soft …, 2023 - cdn.techscience.cn
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 …

[HTML][HTML] Enhancing IoT Security: Optimizing Anomaly Detection through Machine Learning

M Balega, W Farag, XW Wu, S Ezekiel, Z Good - Electronics, 2024 - mdpi.com
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 …

Collaborative Cybersecurity Using Blockchain: A Survey

L Miller, MO Pahl - arXiv preprint arXiv:2403.04410, 2024 - arxiv.org
Collaborative cybersecurity relies on organizations sharing information to boost security, but
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 …

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 …

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 …