Adaptive evidence collection in the cloud using attack scenarios
- Submitting institution
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The Open University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1451871
- Type
- D - Journal article
- DOI
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10.1016/j.cose.2016.03.001
- Title of journal
- Computers and Security
- Article number
- -
- First page
- 236
- Volume
- 59
- Issue
- -
- ISSN
- 0167-4048
- Open access status
- Out of scope for open access requirements
- Month of publication
- March
- Year of publication
- 2016
- URL
-
-
- Supplementary information
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-
- 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
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3
- Research group(s)
-
-
- Citation count
- 13
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The explosion of data generated by mobile computing users accessing cloud resources has led to an increase in cybercrime, and a concomitant challenge of investigating such crime cost-effectively. This paper, in collaboration with a cloud services provider (Program Director, IBM), advances and demonstrates a practical approach for dynamically and efficiently configuring forensic evidence collection in response to changing operational environment. Led to a new research programme on designing forensic-ready systems (Associate-Director, Research at United Technologies Research Center), a new research agenda for the field (Pasquale et al., 2018), and follow-up project by IBM on adaptive compliance (two patents pending).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -