Towards achieving discernment and correlation in cloud logging

Lemoudden, Mouad

Abstract

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.

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

• Presentation Conference Type: Conference Paper (unpublished)
• Conference Name: 13th International Conference on Software Engineering, Parallel and Distributed Systems (SEPADS14)
• Start Date: May 15, 2014
• End Date: May 17, 2014
• Deposit Date: Feb 28, 2023
• Keywords: cloud; logging; syslog; virtualization; security; uml; auditing