Title :
Provenance Monitoring in the Cloud
Author :
Yingmin Li ; Boucelma, Omar
Author_Institution :
LSIS, Aix-Marseille Univ., Marseille, France
fDate :
June 28 2013-July 3 2013
Abstract :
The provenance of workflow is an important supportive component of workflows that concerns the knowledge sharing, product reusability, and process verification. Cloud computing brings new application opportunities and, along with them, associated research challenges, such as integrity, privacy, security, and related legal problems. In this talk, we describe an approach and a system for monitoring data/workflow provenance, with the goal of ensuring/assessing cloud security. The approach relies on (1) OPM, the Open Provenance Model for the specification of provenance, (2) Colored Petri Net (CPN) for diagnosis purposes, and (3) Web Service Security policies (WS-S) which are integrated as part of workflow tasks in order to simulate security checkpoints.
Keywords :
Petri nets; Web services; checkpointing; cloud computing; data privacy; formal specification; law; object-oriented programming; program diagnostics; program verification; security of data; OPM; WS-S; Web service security policies; application opportunities; cloud computing; cloud security assessment; cloud security ensurance; colored Petri net; data provenance monitoring; diagnosis purposes; integrity problem; knowledge sharing; open provenance model; privacy problem; process verification; product reusability; provenance specification; related legal problem; security checkpoint simulation; security problem; workflow provenance monitoring; workflow supportive component; Cryptography; Data models; Image color analysis; Protocols; Servers; Web services; CPN; Cloud Computing; Diagnosis; OPM; Provenance; WS-S; workflow;
Conference_Titel :
Cloud Computing (CLOUD), 2013 IEEE Sixth International Conference on
Conference_Location :
Santa Clara, CA
Print_ISBN :
978-0-7695-5028-2
DOI :
10.1109/CLOUD.2013.110