Diffusion ACNSAF Algorithm for Secure Distributed Estimation Under Complex-Valued Attacks
In order to protect the distributed network from complex-valued attack, a secure diffusion augmented complex-valued normalized subband adaptive filter algorithm is proposed in this article, which is derived from a novel complex-valued detection method. This complex-value detection method can be cons...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9256334/ |
| _version_ | 1818737439133401088 |
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| author | Pengwei Wen Jiashu Zhang Sheng Zhang Gao Chen |
| author_facet | Pengwei Wen Jiashu Zhang Sheng Zhang Gao Chen |
| author_sort | Pengwei Wen |
| collection | DOAJ |
| description | In order to protect the distributed network from complex-valued attack, a secure diffusion augmented complex-valued normalized subband adaptive filter algorithm is proposed in this article, which is derived from a novel complex-valued detection method. This complex-value detection method can be considered to consist of two parts. First, a non-cooperative augmented complex-valued normalized subband adaptive filter algorithm is used to provide reliable reference estimations under complex-valued attacks, and then the threshold test is constructed by using the reliable reference estimations to detect the trustworthy neighbors of each node. The second part is to reassemble the information from the trustworthy neighbors by using the diffusion augmented complex-valued normalized subband adaptive filter algorithm. Then, the theoretical analyses of the mean and mean-square performance of the proposed algorithm are derived based on the energy conservation framework. Finally, some experiments are performed to show the effectiveness of the proposed algorithm under non-time-varying and time-varying complex-valued attacks, respectively. |
| first_indexed | 2024-12-18T00:53:03Z |
| format | Article |
| id | doaj.art-1b2e186835734c6fa10434b54e843b61 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-18T00:53:03Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-1b2e186835734c6fa10434b54e843b612022-12-21T21:26:35ZengIEEEIEEE Access2169-35362020-01-01820316820318210.1109/ACCESS.2020.30373379256334Diffusion ACNSAF Algorithm for Secure Distributed Estimation Under Complex-Valued AttacksPengwei Wen0https://orcid.org/0000-0001-8411-7940Jiashu Zhang1https://orcid.org/0000-0003-2086-0991Sheng Zhang2https://orcid.org/0000-0002-0247-3317Gao Chen3https://orcid.org/0000-0003-3865-0896School of Electronic and Information Engineering, Zhongyuan University of Technology, Zhengzhou, ChinaSichuan Province Key Laboratory of Signal and Information Processing, Southwest Jiaotong University, Chengdu, ChinaSichuan Province Key Laboratory of Signal and Information Processing, Southwest Jiaotong University, Chengdu, ChinaSchool of Electrical Engineering and Intelligentization, Dongguan University of Technology, Dongguan, ChinaIn order to protect the distributed network from complex-valued attack, a secure diffusion augmented complex-valued normalized subband adaptive filter algorithm is proposed in this article, which is derived from a novel complex-valued detection method. This complex-value detection method can be considered to consist of two parts. First, a non-cooperative augmented complex-valued normalized subband adaptive filter algorithm is used to provide reliable reference estimations under complex-valued attacks, and then the threshold test is constructed by using the reliable reference estimations to detect the trustworthy neighbors of each node. The second part is to reassemble the information from the trustworthy neighbors by using the diffusion augmented complex-valued normalized subband adaptive filter algorithm. Then, the theoretical analyses of the mean and mean-square performance of the proposed algorithm are derived based on the energy conservation framework. Finally, some experiments are performed to show the effectiveness of the proposed algorithm under non-time-varying and time-varying complex-valued attacks, respectively.https://ieeexplore.ieee.org/document/9256334/Adaptive networksnoncircular attackswidely linear modelnon-cooperativeaugmented complex-valued normalized subband adaptive filterthreshold test |
| spellingShingle | Pengwei Wen Jiashu Zhang Sheng Zhang Gao Chen Diffusion ACNSAF Algorithm for Secure Distributed Estimation Under Complex-Valued Attacks IEEE Access Adaptive networks noncircular attacks widely linear model non-cooperative augmented complex-valued normalized subband adaptive filter threshold test |
| title | Diffusion ACNSAF Algorithm for Secure Distributed Estimation Under Complex-Valued Attacks |
| title_full | Diffusion ACNSAF Algorithm for Secure Distributed Estimation Under Complex-Valued Attacks |
| title_fullStr | Diffusion ACNSAF Algorithm for Secure Distributed Estimation Under Complex-Valued Attacks |
| title_full_unstemmed | Diffusion ACNSAF Algorithm for Secure Distributed Estimation Under Complex-Valued Attacks |
| title_short | Diffusion ACNSAF Algorithm for Secure Distributed Estimation Under Complex-Valued Attacks |
| title_sort | diffusion acnsaf algorithm for secure distributed estimation under complex valued attacks |
| topic | Adaptive networks noncircular attacks widely linear model non-cooperative augmented complex-valued normalized subband adaptive filter threshold test |
| url | https://ieeexplore.ieee.org/document/9256334/ |
| work_keys_str_mv | AT pengweiwen diffusionacnsafalgorithmforsecuredistributedestimationundercomplexvaluedattacks AT jiashuzhang diffusionacnsafalgorithmforsecuredistributedestimationundercomplexvaluedattacks AT shengzhang diffusionacnsafalgorithmforsecuredistributedestimationundercomplexvaluedattacks AT gaochen diffusionacnsafalgorithmforsecuredistributedestimationundercomplexvaluedattacks |