Adaptive Sampling and Quick Anomaly Detection in Large Networks-Reference-Cited by-同舟云学术

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Adaptive Sampling and Quick Anomaly Detection in Large Networks

Published:2022 Issue: Volume: Page:1-15
ISSN:1545-5955
Container-title:IEEE Transactions on Automation Science and Engineering
language:
Short-container-title:IEEE Trans. Automat. Sci. Eng.

Author:

Xian Xiaochen¹^ORCID,Semenov Alexander¹^ORCID,Hu Yaodan²,Wang Andi³^ORCID,Jin Yier⁴^ORCID

Affiliation:

1. Department of Industrial and Systems Engineering, University of Florida, Gainesville, FL, USA

2. Department of Electrical and Computer Engineering, Idaho State University, Pocatello, ID, USA

3. School of Manufacturing Systems and Networks, Arizona State University, Mesa, AZ, USA

4. Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA

Funder

National Science Foundation

Florida Center for Cybersecurity

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/8856/4358066/09925228.pdf?arnumber=9925228

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Quickest Inference of Susceptible-Infected Cascades in Sparse Networks;2023 IEEE International Symposium on Information Theory (ISIT);2023-06-25

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