A Comprehensive Linux Log Dataset with Root Cause and Remediation for Security Analysis

Linux security monitoring is built on system logs that capture events ranging from process executions to kernel failures to its authentication attempts. These records are bulky and redundant, making it cumbersome to analyse manually. To overcome this, a dataset comprising of 12,685 Linux logs generated from Ubuntu virtual machines configured to mimic real-time scenarios were collected. Five threat levels classification (0–Emergency to 4-Warning) is applied to logs according to severity, ensuring a structured security analysis. Security management and process control represent essential components among the multiple critical aspects they handle. Redundancy was eliminated through pre-processing. Referring to Linux and Red Hat manuals to compare logs to causes and repair methods. Through this dataset, organizations can automate log file threat detection with real-time processing capabilities and exact threat classification and issue recognition functions. The efficiency of security monitoring improves through this dataset because it allows proactive along with reactive threat mitigation and response measures.

Authors

Publication Details

Published
2025-05-14
DOI
https://doi.org/10.1109/icpcsn65854.2025.11036038
Citations
1
Primary Topic
Digital and Cyber Forensics
Type
article
Field-Weighted Citation Impact
3.25
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article

A Comprehensive Linux Log Dataset with Root Cause and Remediation for Security Analysis

Shek Diya Sarkar, R Karthik, H. T. Chethana, B N Chinmaya et al.
1 citations
Digital and Cyber Forensics
3.25
article

A Comprehensive Linux Log Dataset with Root Cause and Remediation for Security Analysis

Shek Diya Sarkar, R Karthik, H. T. Chethana, B N Chinmaya, M P Shreyas
article en
1 citations

Abstract

Linux security monitoring is built on system logs that capture events ranging from process executions to kernel failures to its authentication attempts. These records are bulky and redundant, making it cumbersome to analyse manually. To overcome this, a dataset comprising of 12,685 Linux logs generated from Ubuntu virtual machines configured to mimic real-time scenarios were collected. Five threat levels classification (0–Emergency to 4-Warning) is applied to logs according to severity, ensuring a structured security analysis. Security management and process control represent essential components among the multiple critical aspects they handle. Redundancy was eliminated through pre-processing. Referring to Linux and Red Hat manuals to compare logs to causes and repair methods. Through this dataset, organizations can automate log file threat detection with real-time processing capabilities and exact threat classification and issue recognition functions. The efficiency of security monitoring improves through this dataset because it allows proactive along with reactive threat mitigation and response measures.

Openalex Percentile: Top 8%
Digital and Cyber Forensics
3.25
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A Comprehensive Linux Log Dataset with Root Cause and Remediation for Security Analysis — Shek Diya Sarkar, R Karthik, et al. · (2025) | TGRS Research Map | TGRS