Design and development of RNN anomaly detection model for IoT networks

I Ullah, QH Mahmoud - IEEE Access, 2022 - ieeexplore.ieee.org
Cybersecurity is important today because of the increasing growth of the Internet of Things
(IoT), which has resulted in a variety of attacks on computer systems and networks. Cyber …

An Adaptive Intrusion Detection System in the Internet of Medical Things Using Fuzzy-Based Learning

M Alalhareth, SC Hong - Sensors, 2023 - mdpi.com
The Internet of Medical Things (IoMT) is a growing trend within the rapidly expanding
Internet of Things, enhancing healthcare operations and remote patient monitoring …

BLoCNet: a hybrid, dataset-independent intrusion detection system using deep learning

B Bowen, A Chennamaneni, A Goulart… - International Journal of …, 2023 - Springer
Intrusion detection systems (IDS) identify cyber attacks given a sample of network traffic
collected from real-world computer networks. As a powerful classification tool, deep learning …

DL-SkLSTM approach for cyber security threats detection in 5G enabled IIoT

A Rajak, R Tripathi - International Journal of Information Technology, 2024 - Springer
The advancement of 5G technology has enabled the IIoT (Industrial Internet of Things) to
integrate artificial intelligence, cloud computing, and edge computing in real-time, leading to …

Threat analysis model to control IoT network routing attacks through deep learning approach

K Janani, S Ramamoorthy - Connection Science, 2022 - Taylor & Francis
Most of the recent research has focused on the Internet of Things (IoT) and its applications.
The open interface and network connectivity of the interconnected systems under the IoT …

Anomaly traffic detection in IoT security using graph neural networks

M Gao, L Wu, Q Li, W Chen - Journal of Information Security and …, 2023 - Elsevier
The number of Internet of Things (IoT) devices is expanding quickly as IoT gradually spreads
to all aspects of life. At the same time, IoT devices have emerged as a new attack medium for …

Deep Autoencoder-Based Integrated Model for Anomaly Detection and Efficient Feature Extraction in IoT Networks

KA Alaghbari, HS Lim, MHM Saad, YS Yong - IoT, 2023 - mdpi.com
The intrusion detection system (IDS) is a promising technology for ensuring security against
cyber-attacks in internet-of-things networks. In conventional IDS, anomaly detection and …

[PDF][PDF] Intelligent Identification over Power Big Data: Opportunities, Solutions, and Challenges.

L Luo, X Li, K Yang, M Wei, J Yang… - … -Computer Modeling in …, 2023 - cdn.techscience.cn
The emergence of power dispatching automation systems has greatly improved the
efficiency of power industry operations and promoted the rapid development of the power …

Abnormal data detection and identification method of distribution internet of things monitoring terminal based on spatiotemporal correlation

N Shao, Y Chen - Energies, 2022 - mdpi.com
As an important part of the ubiquitous power Internet of Things, the distribution Internet of
Things can further improve the automation and informatization level of the distribution …

M2VT-IDS: A multi-task multi-view learning architecture for designing IoT intrusion detection system

F Nie, W Liu, G Liu, B Gao - Internet of Things, 2024 - Elsevier
With the rapidly growing frequency of security incidents in the Internet of Things (IoT),
intrusion detection systems (IDS) have gained increasing attention in recent years. They …