Classifying the Authenticity of Evaluated Smartphone Data

Pieterse, Olivier, and van Heerden

2019

Citation information

H. Pieterse, M. S. Olivier, and R. van Heerden. “Classifying the Authenticity of Evaluated Smartphone Data”. In: Advances in Digital Forensics XV. Ed. by G Peterson and S Shenoi. Advances in Information and Communication Technology. Springer, 2019, pp. 39–57

Abstract

Advances in smartphone technology coupled with the widespread use of smartphones in daily activities create large quantities of smartphone data. This 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 intentional or accidental alterations by users or installed applications. It is, therefore, essential to establish the authenticity of smartphone data before submitting it as evidence. Previous research has formulated a smartphone data evaluation model, which provides a methodical 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 about the authenticity of the data.

This chapter proposes a new classiﬁcation model that provides a grade of authenticity for evaluated smartphone data along with a measure of the completeness of the evaluation. Experimental results conﬁrm the eﬀectiveness of the proposed model in classifying the authenticity of smartphone data.

Deﬁnitive version

The deﬁnitive version of the paper is available from the publisher.
DOI: 10.1007/978-3-030-28752-8_3

BibTeX reference

@inproceedings(authentic-phone,
author={Heloise Pieterse and Martin S Olivier and van Heerden, Renier},
title={Classifying the Authenticity of Evaluated Smartphone Data},
editor={G Peterson and S Shenoi},
booktitle={Advances in Digital Forensics {XV}},
series={Advances in Information and Communication Technology}, vol={569},
pages={39--57},
year={2019},
publisher={Springer} )