CaCo: Attributed Network Anomaly Detection via Canonical Correlation Analysis
Author:
Affiliation:
1. School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, China
2. School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/9424/10355676/10098962.pdf?arnumber=10098962
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1. Attribute-Aware Graph Recurrent Networks for Scholarly Friend Recommendation Based on Internet of Scholars in Scholarly Big Data
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3. CLPM: A Cooperative Link Prediction Model for Industrial Internet of Things Using Partitioned Stacked Denoising Autoencoder
4. Correlation-Aware Deep Generative Model for Unsupervised Anomaly Detection
5. ${l_p}$-norms in One-Class Classification for Intrusion Detection in SCADA Systems
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