A unified framework for detecting point and collective anomalies in operating system logs via collaborative transformers

Mohammad Nasirzadeh, Jafar Tahmoresnezhad, Parviz Rashidi-Khazaee

Open source

DOI
10.1038/s41598-025-27693-4
Published
2025-12-28
Container
Scientific Reports
Publisher
Springer Science and Business Media LLC
Open access
unknown

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BibTeX

@article{allodium:10.1038/s41598-025-27693-4,
  title = {A unified framework for detecting point and collective anomalies in operating system logs via collaborative transformers},
  author = {Mohammad Nasirzadeh and Jafar Tahmoresnezhad and Parviz Rashidi-Khazaee},
  year = {2025},
  journal = {Scientific Reports},
  doi = {10.1038/s41598-025-27693-4},
  url = {https://doi.org/10.1038/s41598-025-27693-4}
}

RIS

TY  - JOUR
TI  - A unified framework for detecting point and collective anomalies in operating system logs via collaborative transformers
AU  - Mohammad Nasirzadeh
AU  - Jafar Tahmoresnezhad
AU  - Parviz Rashidi-Khazaee
PY  - 2025
JO  - Scientific Reports
DO  - 10.1038/s41598-025-27693-4
UR  - https://doi.org/10.1038/s41598-025-27693-4
ER  - 

APA

Nasirzadeh, M., Tahmoresnezhad, J., & Rashidi-Khazaee, P. (2025). A unified framework for detecting point and collective anomalies in operating system logs via collaborative transformers. Scientific Reports. https://doi.org/10.1038/s41598-025-27693-4

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