Ever improving smartphone technology, along with the widespread use of the devices to accomplish daily tasks, leads to the collection of rich sources of smartphone data. Smartphone data are, however, susceptible to change and can be altered intentionally or accidentally by end-users or installed applications. It becomes, therefore, important to establish the authenticity of smartphone data, confirming the data refer to actual events, before submitting the data as potential evidence. This paper focuses on data created by smartphone applications and the techniques that can be used to establish the authenticity of the data. To identify authentic smartphone data, a better understanding of the smartphone, related smartphone applications and the environment in which the smartphone operates are required. From the gathered knowledge and insight, requirements are identified that authentic smartphone data must adhere to. These requirements are captured in a new model to assist digital forensic professionals with the evaluation of smartphone data. Experiments, involving different smartphones, are conducted to determine the practicality of the new evaluation model with the identification of authentic smartphone data. The presented results provide preliminary evidence that the suggested model offers the necessary guidance to identify authentic smartphone data.
Louw, Christine; Swanepoel, De Wet; Eikelboom, Robert H.; Myburgh, Hermanus Carel(Lippincott Williams and Wilkins, 2017-03)
OBJECTIVE : To evaluate the performance of smartphone-based hearing screening with the hearScreen application in terms of sensitivity, specificity, referral rates, and time efficiency at two primary health care clinics. ...
Sandström, Josefin; Swanepoel, De Wet; Myburgh, Hermanus Carel; Laurent, Claude(Taylor and Francis, 2016-01)
OBJECTIVE : To validate a calibrated smartphone-based hearing test in a sound booth
environment and in primary health care clinics.
DESIGN : A repeated-measure within-subject study design was employed whereby air
Van Zyl, Marianne; Swanepoel, De Wet; Myburgh, Hermanus Carel(Taylor and Francis, 2018)
OBJECTIVE : This study aimed to develop and assess a method to measure word recognition abilities using a smartphone application (App) connected to an audiometer. DESIGN : Word lists were recorded in South African English ...