Anomaly detection methods based on GAN: a survey
Author:
Funder
State Grid Science and Technology Project
Special Project of Foshan Science and Technology Innovation Team
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-022-03905-6.pdf
Reference74 articles.
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2. Alghushairy O, Alsini R, Soule T, Ma X (2020) A review of local outlier factor algorithms for outlier detection in big data streams. Big Data Cogn Comput 5(1):1. https://doi.org/10.3390/bdcc5010001
3. Henriques J, Caldeira F, Cruz T, Simões P. (2020) Combining k-means and xgboost models for anomaly detection using log datasets. Electronics 9(7):1164. https://doi.org/10.3390/electronics9071164
4. Patil R, Biradar R, Ravi V, Biradar P, Ghosh U (2022) Network traffic anomaly detection using PCA and biGAN. Internet Technol Lett 5(1):e235. https://doi.org/10.1002/itl2.235
5. Wang Z, Fu Y, Song C, Zeng P, Qiao L (2019) Power system anomaly detection based on OCSVM optimized by improved particle swarm optimization. IEEE Access 7:181580–181588. https://doi.org/10.1109/access.2019.2959699
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