Work

Sentinel: Signal Validation and Anomaly Detection for Enterprise Log Data

Year: 2026

Type: article

Abstract: Modern enterprise systems generate large volumes of operational logs that contain information about system behavior, performance, and failure conditions.These logs are frequently used for troubleshooting, monitoring, and anomaly detection.However, raw logs are typically unstructured and heterogeneous, making it difficult to determine whether they contain meaningful signals for analytical methods.Applying anomaly detection algorithms without first validating the quality and informational content of the data can lead to misleading results or unnecessary computational costs.

Source: The Journal of Open Source Software

DOI: 10.21105/joss.11275

Authors: José Manuel Vergara Álvarez, Nicolás Laverde Manotas, Juan Pablo Aguilar Calle, Jeisson Vicente Niño Castillo, Julián David Muñoz Pertuz, Daniel Monsalve Muñoz, Sebastián Osorio Agudelo

Language: English

Topic: Software System Performance and Reliability

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W7225449462

FWCI:

Cites: 8

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Related to: 10