Event Pattern Identification in Anonymized System Logs
Date: Tuesday, June 20, 2017, 08:35 PM - 09:45 PM
Room: Substanz 1+2
Description: The size of computing systems and the number of their components steadily increase. The volume of generated system logs is in proportion to this increase. Storing system logs for analyzing and diagnosing systems behavior in large computing systems, requires a high amount of storage capacity. Sensitive data in system logs raise significant concerns about their sharing and publishing. The use of anonymization methods to cleanse sensitive data in system logs before publication reduces the usability of anonymized system logs for further analysis. After a certain level of anonymization, the cleansed system logs lose their semantic and only remain useful for certain statistical analyses. In this work, we address this tradeoff between anonymization and the usefulness of anonymized system logs. This way, full system logs anonymization is guaranteed, minimum storage space is required, and the cleansed system logs remain usable for general statistical analyses.
Links: Official link from ISC 2017