Behaviour reflects personality: detecting co-residence attacks on Xen-based cloud environments
- Submitting institution
-
Edinburgh Napier University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1304019
- Type
- D - Journal article
- DOI
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10.1007/s10207-014-0255-8
- Title of journal
- International Journal of Information Security
- Article number
- -
- First page
- 299
- Volume
- 14
- Issue
- 4
- ISSN
- 2356-5845
- Open access status
- Out of scope for open access requirements
- Month of publication
- August
- Year of publication
- 2014
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
2
- Research group(s)
-
-
- Citation count
- 5
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper thoroughly examines the neighbouring attack, well known as co-residency attack in cloud computing environments and specifically using XEN hypervisor. The aforementioned attack is feasible because the cloud infrastructures architecturally lack physical isolation. A detection methodology based on system calls is proposed and can be applied even today as the same attack vector still exists in modern cloud infrastructures.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -