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In other words, as the degree of control of the CSCs decreases, less forensic data is available for CSCs.
The authors now try to complete the model for bilateral cloud forensics by combining the component services with execution of the CCRP. Figure 6 shows the model when forensic data is collected at both CSCs and CSPs (as in Fig. 4).
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It is essential that forensic data are similarly collected from the CSPs side.
Likewise, many forensic data that form a critical part of forensic data are created at the CSPs side.
All the statistical analyses of forensic data were performed as described by Brenner [ 9] and using DNAVIEW™ 27.19.
The retrieved forensic data were used for subsequent multi-parametric analysis focusing on the evaluation of circumstances, mechanisms and causes of death in the cases of women who met the basic selection criteria.
Demographic (age, gender, nationality, intelligence) and forensic data were obtained using the Basel Catalogue for Risk Assessment (BCRA) [ 20], the Historical Clinical Risk Assessment (HCR-20) [ 21], and the Psychopathy Checklist-screening version (PCL-SV) [ 22].
Unlike other areas of digital forensics network data is often volatile and rarely logged, making the discipline often reactionary.
Furthermore, in a highly decentralized and virtualized cloud environment, it is quite common that the forensic data may be scattered across multiple data centers situated in different geographic locations [3, 14].
Hence, the FDC is a piece of software that is possibly in combination with some hardware components which are used to collect and store the forensic data that are crucial for an incident under investigation.
In order for the forensic data to be used as evidence, in cloud forensics, data have to be collected as early as possible in their sterile state.
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