Hierarchical Average Fusion With GM-PHD Filters Against FDI and DoS Attacks-Reference-Cited by-同舟云学术

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Hierarchical Average Fusion With GM-PHD Filters Against FDI and DoS Attacks

Published:2024 Issue: Volume:31 Page:934-938
ISSN:1070-9908
Container-title:IEEE Signal Processing Letters
language:
Short-container-title:IEEE Signal Process. Lett.

Author:

Yang Hao¹^ORCID,Li Tiancheng¹^ORCID,Yan Junkun²^ORCID,Elvira Víctor³^ORCID

Affiliation:

1. Key Lab of Information Fusion Technology (Ministry of Education), School of Automation, Northwestern Polytechnical University, Xi'an, China

2. National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China

3. School of Mathematics, University of Edinburgh, Edinburgh, U.K.

Funder

National Natural Science Foundation of China

Natural Science Basic Research Program of Shaanxi

ARL/ARO

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/97/10380231/10411012.pdf?arnumber=10411012

Reference37 articles.

1. Multitarget Tracking

2. Multisensor Random Finite Set Information Fusion

3. Hierarchical Fusion in Clustered Sensor Networks with Asynchronous Local Estimates

4. Sequential fusion estimation for clustered sensor networks

5. Distributed Joint Attack Detection and Secure State Estimation

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1. Normal-skew mixture-based robust probability hypothesis density filter under unknown statistical properties of noise;Digital Signal Processing;2024-11

2. Multi-Target Tracking in Distributed Wireless Sensor Networks with Packet Dropout;2024 IEEE 18th International Conference on Control & Automation (ICCA);2024-06-18

3. Detection of False Data Injection Attacks on Smart Grids Based on A-BiTG Approach;Electronics;2024-05-15

4. A Novel Collusion Combination Cyberattack Strategy Against Integrated Energy System;IEEE Transactions on Industrial Informatics;2024

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