The DOI matches its Crossref record; 44 of the 45 references it cites were found in a registry or an index.
Secure distributed estimation under Byzantine attack and manipulation attack
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Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“The use of secure robust aggregation is currently recognized as an effective means for defending against Byzantine attacks (Li et al. 2023d;Miao et al. 2022;Wan et al. 2022).”
From Survey: federated learning data security and privacy-preserving in edge-Internet of Things (2024) · cites this paper as Wan et al. 2022
Citations
Cites
Fundamentals of Adaptive Filtering
Ramirez, P. S. (2002) · The Kluwer International Series in Engineering and Computer Science · doi:10.1007/978-1-4757-3637-3_2 · Cited by 1,958
Diffusion LMS Strategies for Distributed Estimation
Cattivelli, F. S., & Sayed, A. H. (2010) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2009.2033729 · Cited by 1,174
The Kernel Recursive Least-Squares Algorithm
Engel, Y., Mannor, S., & Meir, R. (2004) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2004.830985 · Cited by 1,104
Tu, S.-Y., & Sayed, A. H. (2012) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2012.2217338 · Cited by 467
Efficient Byzantine Fault-Tolerance
Veronese, G. S., Correia, M., Bessani, A. N., Lung, L. C., & Verissimo, P. (2013) · IEEE Transactions on Computers · doi:10.1109/tc.2011.221 · Cited by 337
Byzantine-Resilient Secure Federated Learning
So, J., Guler, B., & Avestimehr, A. S. (2021) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2020.3041404 · Cited by 313
Avci, O., Abdeljaber, O., Kiranyaz, S., Hussein, M., & Inman, D. J. (2018) · Journal of Sound and Vibration · doi:10.1016/j.jsv.2018.03.008 · Cited by 234
Data Analytics Supports Decentralized Innovation
Wu, L., Lou, B., & Hitt, L. (2019) · Management Science · doi:10.1287/mnsc.2019.3344 · Cited by 229
Amutha, J., Sharma, S., & Sharma, S. K. (2021) · Computer Science Review · doi:10.1016/j.cosrev.2021.100376 · Cited by 161
A Variable Step-Size Diffusion LMS Algorithm for Distributed Estimation
Lee, H., Kim, S., Lee, J.-W., & Song, W. (2015) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2015.2401533 · Cited by 111
Cited by
Survey: federated learning data security and privacy-preserving in edge-Internet of Things
Li, H., Ge, L., & Tian, L. (2024) · Artificial Intelligence Review · doi:10.1007/s10462-024-10774-7 · Cited by 112
“The use of secure robust aggregation is currently recognized as an effective means for defending against Byzantine attacks (Li et al. 2023d; Miao et al. 2022; Wan et al. 2022).”
Adaptive-Width Generalized Correntropy Diffusion Algorithm for Secure Distributed Estimation
Zayyani, H., & Korki, M. (2023) · IEEE Transactions on Circuits & Systems II Express Briefs · doi:10.1109/tcsii.2023.3242092 · Cited by 32
Resilient Distributed Information Fusion Under Multiple Malicious Attacks
Hua, Y., Wan, F., Liao, B., Zhu, S., & Qing, X. (2024) · IEEE Transactions on Aerospace and Electronic Systems · doi:10.1109/taes.2024.3416082 · Cited by 14
Self-citationDistributed consensus-based extended Kalman filter for partial update
Cai, P., Lin, D., Zhang, Q., Qian, J., Zheng, Y., & Wang, S. (2024) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2024.109124 · Cited by 11
Secure distributed estimation via an average diffusion LMS and average likelihood ratio test
Zayyani, H., & Korki, M. (2024) · Digital Signal Processing · doi:10.1016/j.dsp.2024.104782 · Cited by 11
Metadata
- Authors
- Wan, F., Ma, T., Hua, Y., Liao, B., & Qing, X.
- Affiliations
- Northwestern Polytechnical University (CN)
- Corresponding author
- Hua, Yi
- Venue
- Engineering Applications of Artificial Intelligence
- Publisher
- Elsevier BV
- Published
- 2022-11
- Volume
- 116
- Pages
- 105384
- ISSN
- 0952-1976 (ISSN-L)
- OpenAlex
- W4296311620
- Cited by
- 19
- References
- 45
- Citations by year
- 2026: 4 · 2025: 3 · 2024: 11 · 2023: 1
- FWCI
- 2.01
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Locations
- Engineering Applications of Artificial Intelligence (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Signal Processing › Advanced Adaptive Filtering Techniques
- Physical Sciences › Computer Science › Computer Networks and Communications › Security in Wireless Sensor Networks
- Physical Sciences › Computer Science › Computer Networks and Communications › Distributed Sensor Networks and Detection Algorithms
- Keywords
- Byzantine attacks, manipulation attacks, wireless sensor networks, diffusion LMS algorithm, malicious node detection, cooperative strategy, mean square convergence, network security
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- This page
- CoChat. (2026). Citation check: Secure distributed estimation under Byzantine attack and manipulation attack. https://app.cochat.ai/papers/10.1016/j.engappai.2022.105384
- The paper
- Wan, F., Ma, T., Hua, Y., Liao, B., & Qing, X. (2022). Secure distributed estimation under Byzantine attack and manipulation attack. Engineering Applications of Artificial Intelligence. https://doi.org/10.1016/j.engappai.2022.105384
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.