M2VT-IDS: A multi-task multi-view learning architecture for designing IoT intrusion detection system
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 …
intrusion detection systems (IDS) have gained increasing attention in recent years. They …
[HTML][HTML] A Process Mining-based unsupervised Anomaly Detection technique for the Industrial Internet of Things
Abstract Industrial Internet of Things (IIoT) applications in Industry 4.0 collect and process
Time Series (TS) originating from heterogeneous sources. Many data-driven techniques …
Time Series (TS) originating from heterogeneous sources. Many data-driven techniques …
Enhancing IoT intrusion detection system with modified E-GraphSAGE: a graph neural network approach
M Mirlashari, SAM Rizvi - International Journal of Information Technology, 2024 - Springer
In network intrusion detection, graph neural networks (GNNs) have gained remarkable
attention in addressing cybersecurity threats. This research addresses the growing …
attention in addressing cybersecurity threats. This research addresses the growing …
Anomaly detection based on deep learning: Insights and opportunities
H Zhang, R Xie, K Li, W Huang… - 2023 IEEE 10th …, 2023 - ieeexplore.ieee.org
With the advent of the 5G/6G and Big Data, the network has become indispensable in
people's lives, and Cyber security has turned a relevant topic that people pay attention to …
people's lives, and Cyber security has turned a relevant topic that people pay attention to …
Mitigating IEC-60870-5-104 vulnerabilities: Anomaly detection in smart grid based on LSTM autoencoder
S Sathar, S Al-Kuwari, A Albaseer… - 2023 International …, 2023 - ieeexplore.ieee.org
Advanced Information Communication Technology (ICT) is used in smart grid systems to
introduce intelligence and efficiency, potentially outperforming conventional power systems …
introduce intelligence and efficiency, potentially outperforming conventional power systems …
Anomaly Detection and Early Warning Model for Latency in Private 5G Networks
J Han, T Liu, J Ma, Y Zhou, X Zeng, Y Xu - Applied Sciences, 2022 - mdpi.com
Different from previous generations of communication technology, 5G has tailored several
modes especially for industrial applications, such as Ultra-Reliable Low-Latency …
modes especially for industrial applications, such as Ultra-Reliable Low-Latency …
[HTML][HTML] Unleashing the power of Bat optimized CNN-BiLSTM model for advanced network anomaly detection: Enhancing security and performance in IoT …
F Antonius, JC Sekhar, VS Rao, R Pradhan… - Alexandria Engineering …, 2023 - Elsevier
Abstract The growth of IoT (Internet of Things) devices has revolutionized several industries
and brought about novel security threats. Recognizing network anomalies that may point to …
and brought about novel security threats. Recognizing network anomalies that may point to …
The power of patents: Leveraging text mining and social network analysis to forecast IoT trends
M Maghsoudi, R Nourbakhsh, MAM Kermani… - arXiv preprint arXiv …, 2023 - arxiv.org
Technology has become an indispensable competitive tool as science and technology have
progressed throughout history. Organizations can compete on an equal footing by …
progressed throughout history. Organizations can compete on an equal footing by …
A Comprehensive Review of Machine Learning Approaches for Anomaly Detection in Smart Homes: Experimental Analysis and Future Directions
Detecting anomalies in human activities is increasingly crucial today, particularly in nuclear
family settings, where there may not be constant monitoring of individuals' health, especially …
family settings, where there may not be constant monitoring of individuals' health, especially …