Author:
Ray Partha Pratim,Dash Dinesh
Reference54 articles.
1. Alwan AA, Ciupala MA, Baravalle A, Falcarin P. HADES: a Hybrid Anomaly Detection System for Large-Scale Cyber-Physical Systems, In 2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC) 2020 Apr 20 (pp. 136–142). IEEE.
2. Y. An, F.R. Yu, J. Li, J. Chen and V.C.M. Leung, Edge Intelligence (EI)-Enabled HTTP Anomaly Detection Framework for the Internet of Things (IoT), in IEEE Internet of Things Journal, vol. 8, no. 5, pp. 3554–3566, 1 March 1, 2021, doi: 10.1109/JIOT.2020.3024645.
3. Anomalize Package, Available Online https://cran.r-project.org/web/packages/anomalize/anomalize.pdf, Accessed on April, 2021.
4. Probabilistic reasoning for streaming anomaly detection;Carter;IEEE Statistical Signal Processing Workshop (SSP),2012
5. Y. Cheng, Y. Xu, H. Zhong and Y. Liu, Leveraging Semisupervised Hierarchical Stacking Temporal Convolutional Network for Anomaly Detection in IoT Communication, in IEEE Internet of Things Journal, vol. 8, no. 1, pp. 144–155, 1 Jan. 1, 2021, doi: 10.1109/JIOT.2020.3000771.
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