Dec 8, 2022 · Detecting anomalous traffic is a crucial task for network management. Although many anomaly detection algorithms have been proposed recently ...
Abstract: Detecting anomalous traffic is a crucial task of managing networks. Many anomaly detection algorithms have been proposed recently.
To fully utilize the multi-dimensional information hidden in the traffic data, this paper uses the tensor model for more accurate Internet anomaly detection.
Oct 22, 2024 · Detecting anomalous traffic is a crucial task for network management. Although many anomaly detection algorithms have been proposed recently ...
Graph based Tensor Recovery for Accurate Internet Anomaly Detection
dl.acm.org › INFOCOM.2018.8486332
Apr 16, 2018 · Detecting anomalous traffic is a crucial task of managing networks. Many anomaly detection algorithms have been proposed recently.
Xie et al. (2017) proposed a tensor recovery model to decompose a noisy tensor into low rank and sparse components for accurate internet anomaly detection. Xie ...
Neighbor Graph Based Tensor Recovery For Accurate Internet Anomaly Detection · A Novel Sequence Tensor Recovery Algorithm for Quick and Accurate Anomaly ...
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A Novel Sequence Tensor Recovery Algorithm for Quick and Accurate Anomaly Detection ... Neighbor Graph Based Tensor Recovery For Accurate Internet Anomaly ...
Nov 7, 2024 · Neighbor Graph Based Tensor Recovery For Accurate Internet Anomaly Detection. IEEE Trans. Parallel Distributed Syst. 34(2): 655-674 (2023).
To improve the anomaly detection accuracy and tensor factorization speed, TensorDet exploits the factorization structure with two novel techniques, sequential ...