Providing security and privacy in smart house through mobile cloud computing

Ribeiro, Rafael; Santin, Altair O.; Abreu, Vilmar; Marynowski, João Eugênio; Viegas, Eduardo K.

doi:10.1109/latincom.2016.7811599

Cited by 7 publications

(2 citation statements)

References 21 publications

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“…Time consumption [21,55,22,24,63,26,27,29,31,66,33,34,67,68,37,7,38,39,40,41,42,57,71,58,59,75,44,47,48,49,51,88] Communication overhead [24,64,65,32,66,33,67,68,36,7,91,85,86,41,56,42,57,71,58,75,49,…”

Section: Resources Usage Metricsmentioning

confidence: 99%

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Privacy and data protection in mobile cloud computing: A systematic mapping study

2020

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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.

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Section: Resources Usage Metricsmentioning

confidence: 99%

“…[21,22,23,24,25,26, 27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54] 2 Cryptography[21,55,24,25,26, 27,28,29,30,31,36,37,39,41,56,57,58,59,44,45,46,…”

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confidence: 99%