Amanote Research

Amanote Research

    RegisterSign In

Robust Traffic Anomaly Detection With Principal Component Pursuit

doi 10.1145/1921206.1921217
Full Text
Open PDF
Abstract

Available in full text

Date

January 1, 2010

Authors
Atef AbdelkefiYuming JiangWei WangArne AsleboOlav Kvittem
Publisher

ACM Press


Related search

Robust Principal Component Pursuit for Fault Detection in a Blast Furnace Process

English

Iterative Principal Component Analysis (IPCA) for Network Anomaly Detection

English

Robust Principal Component Analysis of Data With Missing Values

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2015English

Robust Anomaly Detection on Unreliable Data

2019English

Designing an Approach for Network Traffic Anomaly Detection

International Journal of Computer Applications
2012English

Robust Anomaly Detection in Videos Using Multilevel Representations

Proceedings of the AAAI Conference on Artificial Intelligence
2019English

Side Information in Robust Principal Component Analysis: Algorithms and Applications

2017English

BackStreamDB: A Stream Processing Engine for Backbone Traffic Monitoring With Anomaly Detection

Security and Privacy
2020English

An Empirical Evaluation of Entropy-Based Traffic Anomaly Detection

2008English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy