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Open Access

Peer-reviewed

Research Article

Anomaly detection of cybersecurity behavior using cross-sequence aligned transformer—A dynamic recognition approach for high-frequency interaction patterns

Songming Han ,

Roles Conceptualization, Data curation, Formal analysis, Methodology, Project administration, Visualization, Writing – original draft, Writing – review & editing

* E-mail: SongmingHan2025@outlook.com

Affiliation Electric Power Research Institute of Guangxi Power Grid Co., Ltd., Nanning, Guangxi, China

https://orcid.org/0009-0002-4817-2840

⨯
Dongmei Bin,

Roles Investigation, Validation, Writing – original draft

Affiliation Electric Power Research Institute of Guangxi Power Grid Co., Ltd., Nanning, Guangxi, China
⨯
Ying Ling,

Roles Project administration, Software, Validation, Writing – original draft, Writing – review & editing

Affiliation Guangxi Power Grid Co., Ltd., Nanning, Guangxi, China
⨯
Cong Lin

Roles Formal analysis, Validation, Writing – review & editing

Affiliation Electric Power Research Institute of Guangxi Power Grid Co., Ltd., Nanning, Guangxi, China
⨯

Anomaly detection of cybersecurity behavior using cross-sequence aligned transformer—A dynamic recognition approach for high-frequency interaction patterns

Songming Han,
Dongmei Bin,
Ying Ling,
Cong Lin

x

Published: February 18, 2026
https://doi.org/10.1371/journal.pone.0340801

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