dc.contributor.author |
Pieterse, Heloise
|
|
dc.contributor.author |
Oliver, DM
|
|
dc.contributor.author |
Van Heerden, Renier P
|
|
dc.date.accessioned |
2019-12-12T09:19:22Z |
|
dc.date.available |
2019-12-12T09:19:22Z |
|
dc.date.issued |
2019-08 |
|
dc.identifier.citation |
Pieterse, H., Oliver, D.M. & Van H.R. 2019. Classifying the Authenticity of Evaluated Smartphone Data. In: IFIP International Conference on Digital Forensics: DigitalForensics, Orlando, FL, USA, 28-30 January 2019 |
en_US |
dc.identifier.issn |
1868-4238 |
|
dc.identifier.issn |
https://link.springer.com/chapter/10.1007/978-3-030-28752-8_3 |
|
dc.identifier.uri |
https://link.springer.com/conference/digitalforensics
|
|
dc.identifier.uri |
http://hdl.handle.net/10204/11258
|
|
dc.description |
Copyright: 2019. This is a pre-print version. The definitive version of the work is published on the proceedings of IFIP International Conference on Digital Forensics: DigitalForensics 2019, 28-30 January, Orlando, FL, USA |
en_US |
dc.description.abstract |
Advances in smartphone technology coupled with the widespread use of such devices to accomplish daily tasks create valuable sources of smartphone data. Such data becomes increasingly important when smartphones are linked to civil or criminal investigations. As with all forms of digital data, smartphone data is susceptible to change due to intentional or accidental alterations by end-users or installed applications. It is, therefore, essential to establish the authenticity of smartphone data, before submitting the data as potential evidence. Previously conducted research formulated the smartphone data evaluation model, which provides a methodological approach for evaluating the authenticity of smartphone data. However, the smartphone data evaluation model only stipulates how to evaluate smartphone data without providing a formal outcome regarding the authenticity of the data. This paper introduces a new classi cation model that presents the grade of authenticity of evaluated smartphone data, as well as the completeness of the evaluation. The outcome of a practical experiment con rms the e ective use of the classi cation model to classify the authenticity of smartphone data. |
en_US |
dc.language.iso |
en |
en_US |
dc.relation.ispartofseries |
Workflow;22715 |
|
dc.subject |
Digital forensics |
en_US |
dc.subject |
Smartphone forensics |
en_US |
dc.subject |
Smartphones |
en_US |
dc.subject |
Smartphone data |
en_US |
dc.subject |
Authenticity |
en_US |
dc.title |
Classifying the Authenticity of Evaluated Smartphone Data |
en_US |
dc.type |
Conference Presentation |
en_US |
dc.identifier.apacitation |
Pieterse, H., Oliver, D., & Van Heerden, R. P. (2019). Classifying the Authenticity of Evaluated Smartphone Data. http://hdl.handle.net/10204/11258 |
en_ZA |
dc.identifier.chicagocitation |
Pieterse, Heloise, DM Oliver, and Renier P Van Heerden. "Classifying the Authenticity of Evaluated Smartphone Data." (2019): http://hdl.handle.net/10204/11258 |
en_ZA |
dc.identifier.vancouvercitation |
Pieterse H, Oliver D, Van Heerden RP, Classifying the Authenticity of Evaluated Smartphone Data; 2019. http://hdl.handle.net/10204/11258 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Pieterse, Heloise
AU - Oliver, DM
AU - Van Heerden, Renier P
AB - Advances in smartphone technology coupled with the widespread use of such devices to accomplish daily tasks create valuable sources of smartphone data. Such data becomes increasingly important when smartphones are linked to civil or criminal investigations. As with all forms of digital data, smartphone data is susceptible to change due to intentional or accidental alterations by end-users or installed applications. It is, therefore, essential to establish the authenticity of smartphone data, before submitting the data as potential evidence. Previously conducted research formulated the smartphone data evaluation model, which provides a methodological approach for evaluating the authenticity of smartphone data. However, the smartphone data evaluation model only stipulates how to evaluate smartphone data without providing a formal outcome regarding the authenticity of the data. This paper introduces a new classi cation model that presents the grade of authenticity of evaluated smartphone data, as well as the completeness of the evaluation. The outcome of a practical experiment con rms the e ective use of the classi cation model to classify the authenticity of smartphone data.
DA - 2019-08
DB - ResearchSpace
DP - CSIR
KW - Digital forensics
KW - Smartphone forensics
KW - Smartphones
KW - Smartphone data
KW - Authenticity
LK - https://researchspace.csir.co.za
PY - 2019
SM - 1868-4238
SM - https://link.springer.com/chapter/10.1007/978-3-030-28752-8_3
T1 - Classifying the Authenticity of Evaluated Smartphone Data
TI - Classifying the Authenticity of Evaluated Smartphone Data
UR - http://hdl.handle.net/10204/11258
ER -
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en_ZA |