journal article·2023Open access

Fine-Grained Multivariate Time Series Anomaly Detection in IoT

Shiming He, Meng Guo, Bo Yang, Osama Alfarraj, Amr Tolba, Pradip Kumar Sharma, Xi’ai Yan

Computers, Materials & Continua· Volume 75· Issue 3

Abstract

Sensors produce a large amount of multivariate time series data to record the states of Internet of Things (IoT) systems. Multivariate time series timestamp anomaly detection (TSAD) can identify timestamps of attacks and malf... | Find, read and cite all the research you need on Tech Science Press
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Anomaly Detection Techniques and Applications · Time Series Analysis and Forecasting · Network Security and Intrusion Detection

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References (32)

Show source-provided references
1. Robust dynamic network traffic partitioning against malicious attacks10.1016/j.jnca.2016.04.013 ↗
2. Confidence-aware collaborative detection mechanism for false data attacks in smart grids10.1007/s00500-020-05557-5 ↗
3. Detecting spacecraft anomalies using lstms and nonparametric dynamic thresholding
4. A multimodal anomaly detector for robot-assisted feeding using an lstm-based variational autoencoder10.1109/LRA.2018.2801475 ↗
5. Deep autoencoding Gaussian mixture model for unsupervised anomaly detection
6. Robust anomaly detection for multivariate time series through stochastic recurrent neural network
7. Mad-gan: Multivariate anomaly detection for time series data with generative adversarial networks
8. MTAD-TF: Multivariate time series anomaly detection using the combination of temporal pattern and feature pattern10.1155/2020/8846608 ↗
9. Multivariate time-series anomaly detection via graph attention network
10. Usad: Unsupervised anomaly detection on multivariate time series
11. Graph neural network-based anomaly detection in multivariate time series
12. An evaluation of anomaly detection and diagnosis in multivariate time series10.1109/TNNLS.2021.3105827 ↗
13. A deep neural network for unsupervised anomaly detection and diagnosis in multivariate time series data
14. Bert-based deep spatial-temporal network for taxi demand prediction10.1109/TITS.2021.3122114 ↗
15. Logevent2vec: Logevent-to-vector based anomaly detection for large-scale logs in internet of things
16. Traffic anomaly detection model using k-means and active learning method10.1007/s40815-022-01269-0 ↗
17. Detection of probe flow anomalies using information entropy and random forest method10.3233/JIFS-191448 ↗
18. Lightweight deep network for traffic sign classification10.1007/s12243-019-00731-9 ↗
19. Eadn: An efficient deep learning model for anomaly detection in videos10.3390/math10091555 ↗
20. Daemon: Unsupervised anomaly detection and interpretation for multivariate time series
21. Multivariate time series anomaly detection and interpretation using hierarchical inter-metric and temporal embedding
22. Sdfvae: Static and dynamic factorized vae for anomaly detection of multivariate cdn kpis
23. Learning graph structures with transformer for multivariate time series anomaly detection in IoT10.1109/JIOT.2021.3100509 ↗
24. Grelen: Multivariate time series anomaly detection from the perspective of graph relational learning
25. Intelligent detection for key performance indicators in industrial-based cyber-physical systems10.1109/TII.2020.3036168 ↗
26. Fast tensor factorization for accurate internet anomaly detection10.1109/TNET.2017.2761704 ↗
27. Fast low-rank matrix approximation with locality sensitive hashing for quick anomaly detection
28. Graph based tensor recovery for accurate internet anomaly detection
29. On-line anomaly detection with high accuracy10.1109/TNET.2018.2819507 ↗
30. Anomaly detection in streams with extreme value theory
31. Xingjian · Advances in Neural Information Processing Systems · 2015 · 802
32. An empirical evaluation of generic convolutional and recurrent networks for sequence modeling