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Volume 13
Issue 22
10.3390/electronics13224464
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Correction to Electronics 2023, 12(23), 4817.
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Correction

Correction: Xu et al. Android Malware Detection Based on Behavioral-Level Features with Graph Convolutional Networks. Electronics 2023, 12, 4817

by
Qingling Xu
1,2,
Dawei Zhao
1,2,
Shumian Yang
1,2,*,
Lijuan Xu
1,2 and
Xin Li
1,2
1
Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences), Jinan 250014, China
2
Shandong Provincial Key Laboratory of Computer Networks, Shandong Fundamental Research Center for Computer Science, Jinan 250014, China
*
Author to whom correspondence should be addressed.
Electronics 2024, 13(22), 4464; https://doi.org/10.3390/electronics13224464
Submission received: 17 October 2024 / Accepted: 24 October 2024 / Published: 14 November 2024
Versions Notes
The journal has corrected the article “Android Malware Detection Based on Behavioral-Level Features with Graph Convolutional Networks” [1].
Following publication, concerns were brought to the attention of the Editorial Office that parts of the article [2] were replicated in another Electronics publication [1].
Adhering to our complaint’s procedure, an investigation was conducted by the Editorial Office and Editorial Board. This investigation confirmed instances of replication, including the use of the MsDroid function. To address this issue and provide proper credit, the following citation has been added:
Ref. [2] He, Y.; Liu, Y.; Wu, L.; Yang, Z.; Ren, K.; Qin, Z. MsDroid: Identifying Malicious Snippets for Android Malware Detection. IEEE Trans. Dependable Secur. Comput. 2023, 20, 2025–2039.
This reference has been cited as ref. [12] in the following sections: 1. Introduction; 3. Methodology; 3.4.2. Loss Function; and 4.5. Detection Performance Comparison with Existing Methods.
Moreover, to enhance clarity, the term “MsDroid” was added to Table 10.
The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.

References

  1. Xu, Q.; Zhao, D.; Yang, S.; Xu, L.; Li, X. Android Malware Detection Based on Behavioral-Level Features with Graph Convolutional Networks. Electronics 2023, 12, 4817. [Google Scholar] [CrossRef]
  2. He, Y.; Liu, Y.; Wu, L.; Yang, Z.; Ren, K.; Qin, Z. MsDroid: Identifying Malicious Snippets for Android Malware Detection. IEEE Trans. Dependable Secur. Comput. 2023, 20, 2025–2039. [Google Scholar] [CrossRef]
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Share and Cite

MDPI and ACS Style

Xu, Q.; Zhao, D.; Yang, S.; Xu, L.; Li, X. Correction: Xu et al. Android Malware Detection Based on Behavioral-Level Features with Graph Convolutional Networks. Electronics 2023, 12, 4817. Electronics 2024, 13, 4464. https://doi.org/10.3390/electronics13224464

AMA Style

Xu Q, Zhao D, Yang S, Xu L, Li X. Correction: Xu et al. Android Malware Detection Based on Behavioral-Level Features with Graph Convolutional Networks. Electronics 2023, 12, 4817. Electronics. 2024; 13(22):4464. https://doi.org/10.3390/electronics13224464

Chicago/Turabian Style

Xu, Qingling, Dawei Zhao, Shumian Yang, Lijuan Xu, and Xin Li. 2024. "Correction: Xu et al. Android Malware Detection Based on Behavioral-Level Features with Graph Convolutional Networks. Electronics 2023, 12, 4817" Electronics 13, no. 22: 4464. https://doi.org/10.3390/electronics13224464

APA Style

Xu, Q., Zhao, D., Yang, S., Xu, L., & Li, X. (2024). Correction: Xu et al. Android Malware Detection Based on Behavioral-Level Features with Graph Convolutional Networks. Electronics 2023, 12, 4817. Electronics, 13(22), 4464. https://doi.org/10.3390/electronics13224464

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