MSCA: An Unsupervised Anomaly Detection System for Network Security in Backbone Network
Author:
Affiliation:
1. Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China
2. Department of Electronic and Engineering, Tsinghua University, Beijing, China
3. Peng Cheng Laboratory, Shenzhen, China
Funder
National Natural Science Foundation of China
Tsinghua University
Clinical Medicine Development Fund of Tsinghua University
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Networks and Communications,Computer Science Applications,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/6488902/10009001/09889745.pdf?arnumber=9889745
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1. FAST-ODT: A Lightweight Outlier Detection Scheme for Categorical Data Sets
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5. A novel anomaly detection system using feature-based MSPCA with sketch
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