Assessing Anonymized System Logs Usefulness for Behavioral Analysis in RNN Models. (arXiv:2212.01101v1 [cs.LG])

System logs are a common source of monitoring data for analyzing computing
systems' behavior. Due to the complexity of modern computing systems and the
large size of collected monitoring data, automated analysis mechanisms are
required. Numerous machine learning and deep learning methods are proposed to
address this challenge. However, due to the existence of sensitive data in
system logs their analysis and storage raise serious privacy concerns.
Anonymization methods could be used to clean the monitoring data before
analysis. However, …

analysis behavioral analysis logs system