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CFaaS: bilaterally agreed evidence collection
- Source :
- Journal of Cloud Computing: Advances, Systems and Applications, Vol 7, Iss 1, Pp 1-19 (2018)
- Publication Year :
- 2018
- Publisher :
- Springer Science and Business Media LLC, 2018.
-
Abstract
- A common cloud forensic model proposed by researchers is ‘Cloud-Forensic-as-a-Service’ where consumers have to access it as a service to collect forensic data from cloud environments. The ‘Cloud-Forensic-as-a-Service’ model raises the question of how it collects digital evidence pertaining to an incident which occurred in the cloud. Currently, types of ‘Cloud-Forensic-as-a-Service’ systems in the literature show that the system is controlled and implemented by the cloud provider, where they unilaterally define the type of evidence that can be collected by the system. A serious limitation of this approach is that it does not offer the consumer sufficient means of performing reasonableness checks to verify that the provider is not accidentally or maliciously contaminating the evidence. To address the problem, the paper proposes a conceptual bilateral Cloud-Forensic-as-a-Service model where both consumers and providers can independently collect, verify the equity of the forensic analysis process and try to resolve potential disputes emerging from the independently collected results. The authors have developed a cloud forensic process model to lead common and significant aspects of a bilateral Cloud-Forensics-as-a-Service model. The paper explicitly discusses the concept of a bilateral Cloud-Forensic-as-a-Service model.
- Subjects :
- Service (systems architecture)
lcsh:Computer engineering. Computer hardware
Computer Networks and Communications
Computer science
Process (engineering)
lcsh:TK7885-7895
ComputingMilieux_LEGALASPECTSOFCOMPUTING
Cloud computing
02 engineering and technology
Trust
lcsh:QA75.5-76.95
Digital evidence
0202 electrical engineering, electronic engineering, information engineering
Cloud forensics
Forensics as a service
business.industry
Equity (finance)
020206 networking & telecommunications
020207 software engineering
Data science
Forensic science
lcsh:Electronic computers. Computer science
Evidence collection
business
Software
Model
Subjects
Details
- ISSN :
- 2192113X
- Volume :
- 7
- Database :
- OpenAIRE
- Journal :
- Journal of Cloud Computing
- Accession number :
- edsair.doi.dedup.....e4d17278e87c1e6f96b0cc9334e3653d
- Full Text :
- https://doi.org/10.1186/s13677-017-0102-3