Katilu, Victoria M., Franqueira, Virginia N. L., Angelopoulou, Olga (2015) Challenges of Data Provenance for Cloud Forensic Investigations. In: Proceedings: 10th International Conference on Availability, Reliability and Security (ARES 2015). . pp. 312-317. IEEE ISBN 978-1-4673-6590-1. (doi:10.1109/ares.2015.54) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:77186)
The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
Official URL: https://doi.org/10.1109/ares.2015.54 |
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.
Item Type: | Conference or workshop item (Proceeding) |
---|---|
DOI/Identification number: | 10.1109/ares.2015.54 |
Uncontrolled keywords: | Provenance, Cloud Computing, Cloud Forensics |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
Depositing User: | Virginia Franqueira |
Date Deposited: | 10 Oct 2019 17:26 UTC |
Last Modified: | 05 Nov 2024 12:41 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/77186 (The current URI for this page, for reference purposes) |
- Export to:
- RefWorks
- EPrints3 XML
- BibTeX
- CSV
- Depositors only (login required):