Abstract
As a result of a shift in the world of technology, the combination of ubiquitous mobile networks and cloud computing produced the mobile cloud computing (MCC) domain. As a consequence of a major concern of cloud users, privacy and data protection are getting substantial attention in the field. Currently, a considerable number of papers have been published on MCC with a growing interest in privacy and data protection. Along with this advance in MCC, however, no specific investigation highlights the results of the existing studies in privacy and data protection. In addition, there are no particular exploration highlights trends and open issues in the domain. Accordingly, the objective of this paper is to highlight the results of existing primary studies published in privacy and data protection in MCC to identify current trends and open issues. In this investigation, a systematic mapping study was conducted with a set of six research questions. A total of 1711 studies published from 2009 to 2019 were obtained. Following a filtering process, a collection of 74 primary studies were selected. As a result, the present data privacy threats, attacks, and solutions were identified. Also, the ongoing trends of data privacy exercise were observed. Moreover, the most utilized measures, research type, and contribution type facets were emphasized. Additionally, the current open research issues in privacy and data protection in MCC were highlighted. Furthermore, the results demonstrate the current state-of-the-art of privacy and data protection in MCC, and the conclusion will help to identify research trends and open issues in MCC for researchers and offer useful information in MCC for practitioners.
Highlights
In recent years, mobile cloud computing (MCC) is playing a crucial role in connectivity and accessibility to services and applications [1]
It is an approach that aims to enable mobile terminals to access robust and reliable cloud-based computing that facilitates the optimal utilization of resources
We have identified eight data privacy exercises; these eight exercises have been highlighted in the selected primary studies for implementing privacy solutions in MCC
Summary
Mobile cloud computing (MCC) is playing a crucial role in connectivity and accessibility to services and applications [1]. A considerable number of papers have been published on MCC with a growing interest in privacy and data protection. The study presented in this paper aims to highlight the results of existing primary studies published in privacy and data protection in MCC to identify current trends and open issues in the domain. In this examination, a systematic mapping study (SMS) was conducted with a set of six research questions. Illustrate the current state-of-the-art of data privacy exercises utilized in MCC and highlight the types of research and contribution areas that are used in mobile cloud computing.
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