Research Output
Towards achieving discernment and correlation in cloud logging
  Logs are of the most important pieces of analytical data in a cloud-based service infrastructure. IT actors, as well as security personnel, need access to information about user activity, authentication attempts and other security events for forensic investigations. This paper aims to establish the logging challenges introduced in the cloud environment, and to discuss and argue the validity of deploying logging standards in the cloud. In this research, we present a solution design for improving the conditions of logging in the cloud and tracing activities that occur within in a standard fashion, putting forth a UML Model for the open and extensible Syslog format in the process.

  • Date:

    15 May 2014

  • Publication Status:

    Unpublished

  • Funders:

    Historic Funder (pre-Worktribe)

Citation

Lemoudden, M. (2014, May). Towards achieving discernment and correlation in cloud logging. Paper presented at 13th International Conference on Software Engineering, Parallel and Distributed Systems (SEPADS14), Gdansk, Poland

Authors

Keywords

cloud; logging; syslog; virtualization; security; uml; auditing

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