Hdl Handle:
http://hdl.handle.net/10545/583876
Title:
Challenges of data provenance for cloud forensic investigations
Authors:
Katilu, Victoria M.; Franqueira, Virginia N. L. ( 0000-0003-1332-9115 ) ; Angelopoulou, Olga
Abstract:
Cloud computing has gained popularity due to its efficiency, robustness and cost effectiveness. Carrying out digital forensic investigations in the cloud is currently a relevant and open issue. The root of this issue is the fact that servers cannot be physically accessed, coupled with the dynamic and distributed nature of cloud computing with regards to data processing and storage. This renders traditional methods of evidence collection impractical. The use of provenance data in cloud forensics is critical as it provides forensic investigators with data history in terms of people, entities and activities involved in producing related data objects. Therefore, cloud forensics requires effective provenance collection mechanisms. This paper provides an overview of current provenance challenges in cloud computing and identifies limitations of current provenance collection mechanisms. Recommendations for additional research in digital provenance for cloud forensics are also presented.
Affiliation:
University of Derby
Citation:
Katilu, V, Franqueira, V, & Angelopoulou, O 2015, 'Challenges of Data Provenance for Cloud Forensic Investigations', 2015 ICOHTEC/IEEE Proceedings of the 10th International Conference on Availability, Reliability and Security (ARES), p. 312-317
Publisher:
IEEE Computer Society
Journal:
Proceedings of the 10th International Conference on Availability, Reliability and Security (ARES)
Issue Date:
Aug-2015
URI:
http://hdl.handle.net/10545/583876
DOI:
10.1109/ARES.2015.54
Additional Links:
http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7299931
Type:
Meetings and Proceedings
Language:
en
Series/Report no.:
INSPEC Accession Number: 15525369
Appears in Collections:
Department of Electronics, Computing & Maths

Full metadata record

DC FieldValue Language
dc.contributor.authorKatilu, Victoria M.en
dc.contributor.authorFranqueira, Virginia N. L.en
dc.contributor.authorAngelopoulou, Olgaen
dc.date.accessioned2015-12-14T10:40:58Zen
dc.date.available2015-12-14T10:40:58Zen
dc.date.issued2015-08en
dc.identifier.citationKatilu, V, Franqueira, V, & Angelopoulou, O 2015, 'Challenges of Data Provenance for Cloud Forensic Investigations', 2015 ICOHTEC/IEEE Proceedings of the 10th International Conference on Availability, Reliability and Security (ARES), p. 312-317en
dc.identifier.doi10.1109/ARES.2015.54en
dc.identifier.urihttp://hdl.handle.net/10545/583876en
dc.description.abstractCloud computing has gained popularity due to its efficiency, robustness and cost effectiveness. Carrying out digital forensic investigations in the cloud is currently a relevant and open issue. The root of this issue is the fact that servers cannot be physically accessed, coupled with the dynamic and distributed nature of cloud computing with regards to data processing and storage. This renders traditional methods of evidence collection impractical. The use of provenance data in cloud forensics is critical as it provides forensic investigators with data history in terms of people, entities and activities involved in producing related data objects. Therefore, cloud forensics requires effective provenance collection mechanisms. This paper provides an overview of current provenance challenges in cloud computing and identifies limitations of current provenance collection mechanisms. Recommendations for additional research in digital provenance for cloud forensics are also presented.en
dc.language.isoenen
dc.publisherIEEE Computer Societyen
dc.relation.ispartofseriesINSPEC Accession Number: 15525369en
dc.relation.urlhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7299931en
dc.subjectCloud Computingen
dc.subjectCloud Forensicsen
dc.subjectProvenanceen
dc.titleChallenges of data provenance for cloud forensic investigationsen
dc.typeMeetings and Proceedingsen
dc.contributor.departmentUniversity of Derbyen
dc.identifier.journalProceedings of the 10th International Conference on Availability, Reliability and Security (ARES)en
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