Titel (eng)

A Method for the Systematic Generation of Audit Logs in a Digital Preservation Environment and Its Experimental Implementation In a Production Ready System

AutorIn

Hao Xu

Jason Coposky

Dan Bedard

Jewel Ward

Terrell Russell

Arcot Rajasekar

Reagan Moore

Ben Keller

Zoey Greer

HerausgeberIn

School of Information and Library Science, University of North Carolina at Chapel Hill

Beschreibung

In a digital preservation environment there is a need for a complete auditing of the change of the system state. A complete log ensures that the properties of the objects in the system can be verified. Modern data management systems such as the integrated Rule-Oriented Data System (iRODS) allow administrators to configure complex policies. Pre- or
post-operation, these policies can trigger other state changing operations. In this paper, we describe a method that allows us - given a complete list of state changing operations - to generate a complete audit log of the system. We
also describe an experimental implementation of the framework. An important advantage of our method is that not only do we build on sound theoretical foundations, but we
also validate the methodology in a production ready environment which has undergone substantial quality control. The implementation of our method can be distributed as a
turnkey solution that is ready to deploy, which significantly shortens the gap between theoretical development and practical applications.

Sprache des Objekts

Englisch

Rechte

Creative Commons Lizenzvertrag
Dieses Werk bzw. dieser Inhalt steht unter einer
CC BY 4.0 - Creative Commons Namensnennung 4.0 International Lizenz.

CC BY 4.0 International

http://creativecommons.org/licenses/by/4.0/

Klassifikation

audit log, production system, implementation, digital preser- vation, policies, automated log generation

Conferences, Conference 2015

Mitglied in der/den Collection(s) (3)

o:429627 Proceedings of the 12th International Conference on Digital Preservation
o:424738 Openaire v3.0 collection
o:168770 Open Access Collection

Identifiers