Anonymization of System Logs for Preserving Privacy and Reducing Storage

Ghiasvand, Siavash and Ciorba, Florina M.. (2019) Anonymization of System Logs for Preserving Privacy and Reducing Storage. In: Advances in Information and Communication Networks. Proceedings of the 2018 Future of Information and Communication Conference (FICC), 2. Cham, pp. 162-179.

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Official URL: https://edoc.unibas.ch/59512/

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System logs constitute valuable information for analysis and diagnosis of systems behavior. The analysis is highly time-consuming for large log volumes. For many parallel computing centers, outsourcing the analysis of system logs (syslogs) to third parties is the only option. Therefore, a general analysis and diagnosis solution is needed. Such a solution is possible only through the syslog analysis from multiple computing systems. The data within syslogs can be sensitive, thus obstructing the sharing of syslogs across institutions, third-party entities, or in the public domain. This work proposes a new method for the anonymization of syslogs that employs de-identification and encoding to provide fully shareable system logs. In addition to eliminating the sensitive data within the test logs, the proposed anonymization method provides 25% performance improvement in post-processing of the anonymized syslogs, and more than 80% reduction in their required storage space.
Faculties and Departments:05 Faculty of Science > Departement Mathematik und Informatik > Informatik > High Performance Computing (Ciorba)
UniBasel Contributors:Ciorba, Florina M.
Item Type:Conference or Workshop Item, refereed
Conference or workshop item Subtype:Conference Paper
Note:Publication type according to Uni Basel Research Database: Conference paper
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Last Modified:16 Mar 2020 13:49
Deposited On:16 Mar 2020 13:49

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