Apr 28, 2021 · Internet traffic anomaly detection (ITAD) aims to identify traffic anomalies possibly caused by flash crowds, denial-of-service attacks, port ...
Apr 28, 2021 · Internet traffic anomaly detection (ITAD) aims to identify traffic anomalies possibly caused by flash crowds, denial-of-service attacks, port ...
Abstract. Internet traffic anomaly detection (ITAD) is a critical task for various network tasks such as traffic engineering and network security. Matrix-based ...
SLRTA: A sparse and low-rank tensor-based approach to internet traffic anomaly detection ... Aksoy, Feature normalization and likelihood-based similarity measures ...
摘要：Internet traffic anomaly detection (ITAD) is a critical task for various network tasks such as traffic engineering and network security. Traditional matrix ...
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Entropy-Based Internet Traffic Anomaly Detection: A Case Study ... SLRTA: A sparse and low-rank tensor-based approach to internet traffic anomaly detection.
Sep 17, 2024 · 2) The anomaly matrix A is sparse, containing predom- inantly zero-entries, as we expect anomalies to occur infrequently across both flows and ...
In this paper, we introduce a unified low-rank and sparse enhanced Tucker decomposition model for tensor completion. Our model possesses a sparse ...
学术报告. 题目：SLRTA: A Sparse and Low-Rank Tensor-based Approach to Internet Traffic Anomaly Detection Lyapunov stability versus Jacobi stability.
Oct 22, 2024 · SLRTA: A Sparse and Low-Rank Tensor-based Approach to Internet Traffic Anomaly Detection ... sparse and low-rank tensor-based approach (SLRTA) for ...