Fast anomaly identification based on multiaspect data streams for intelligent intrusion detection toward secure industry 4.0
Various cyber attacks often occur in logistics network of the Industry 4.0, which poses a
threat to Internet security. Intrusion detection can intelligently detect anomalous activities …
threat to Internet security. Intrusion detection can intelligently detect anomalous activities …
ASTREAM: Data-stream-driven scalable anomaly detection with accuracy guarantee in IIoT environment
Intrusion detection exerts a crucial influence on securing the IIoT driven by anomaly
detection approaches. Dissimilar with the static data, the intrusion detection data is in the …
detection approaches. Dissimilar with the static data, the intrusion detection data is in the …
A review paper on data sensing and acquisition complexity and accuracy in green house monitoring systems
P Malewar, R Kadu, R Kakde… - … on Emerging Trends …, 2022 - ieeexplore.ieee.org
The research paper is based on data acquisition of greenhouse monitoring systems and the
issues to reduce its data latency and complexity. The paper contains the various parameters …
issues to reduce its data latency and complexity. The paper contains the various parameters …
A Review of Intelligent Verification System for Distribution Automation Terminal based on Artificial Intelligence Algorithms
H Li, Q Xu, Q Wang, B Tang - Journal of Cloud Computing, 2023 - Springer
Artificial intelligence (AI) plays a key role in the distribution automation system (DAS). By
using artificial intelligence technology, it is possible to intelligently verify and monitor …
using artificial intelligence technology, it is possible to intelligently verify and monitor …
Anomaly detection for internet of things time series data using generative adversarial networks with attention mechanism in smart agriculture
W Cheng, T Ma, X Wang, G Wang - Frontiers in Plant Science, 2022 - frontiersin.org
More recently, smart agriculture has received widespread attention, which is a deep
combination of modern agriculture and the Internet of Things (IoT) technology. To achieve …
combination of modern agriculture and the Internet of Things (IoT) technology. To achieve …
6G-enabled anomaly detection for metaverse healthcare analytics in Internet of Things
As an emerging concept, the metaverse incorporates a range of advanced technologies and
offers a great opportunity to enhance the experiences of healthcare in clinical practice and …
offers a great opportunity to enhance the experiences of healthcare in clinical practice and …
[HTML][HTML] A novel Edge architecture and solution for detecting concept drift in smart environments
The proliferation of the Internet of Things (IoT), artificial intelligence (AI), the adoption of 5G,
and progress towards 6G technology have led to the accumulation of massive amounts of …
and progress towards 6G technology have led to the accumulation of massive amounts of …
A cloud‐edge service offloading method for the metaverse in smart manufacturing
With the development of artificial intelligence, cloud‐edge computing and virtual reality, the
industrial design that originally depends on human imagination and computing power can …
industrial design that originally depends on human imagination and computing power can …
[HTML][HTML] DDANF: Deep denoising autoencoder normalizing flow for unsupervised multivariate time series anomaly detection
In recent years, the proliferation of IoT technologies and the widespread adoption of wireless
sensors across various critical infrastructures such as power plants, service monitoring …
sensors across various critical infrastructures such as power plants, service monitoring …
[HTML][HTML] Deployment optimization for target perpetual coverage in energy harvesting wireless sensor network
Z Jin, Y Geng, C Zhu, Y Xia, X Deng, L Yi… - Digital Communications …, 2024 - Elsevier
Energy limitation of traditional Wireless Sensor Networks (WSNs) greatly confines the
network lifetime due to generating and processing massive sensing data with a limited …
network lifetime due to generating and processing massive sensing data with a limited …