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

Mohammad Nasirzadeh, Jafar Tahmoresnezhad, Parviz Rashidi-Khazaee · 2025

Read A unified framework for detecting point and collective anomalies in operating system logs via collaborative transformers by Mohammad Nasirzadeh, Jafar Tahmoresnezhad, Parviz Rashidi-Khazaee (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-12753693.txt.

Description

Mohammad Nasirzadeh, Jafar Tahmoresnezhad, and Parviz Rashidi-Khazaee build a log fault finder. Their work from twenty twenty-five deals with system logs. Logs guard the safety of operating systems in daily use.

One mode tools miss the many forms that log data takes. Multi mode tools can miss how those forms interact. Their tool, CoLog, codes log modes in a joint way. A shift layer helps modes with distinct traits work together. Tests show it beats past tools at finding faults. Both lone and group faults are its targets. It serves security teams well.

Catalog record

CREATORMohammad Nasirzadeh, Jafar Tahmoresnezhad, Parviz Rashidi-Khazaee
YEAR2025
COLLECTIONPAPERS
FORMATTXT
FILE SIZE242 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC12753693

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