Offline privacy preserving proxy re-encryption in mobile cloud computing

Koe, Arthur Sandor Voundi; Lin, Yaping

doi:10.1016/j.pmcj.2019.101081

Cited by 7 publications

(2 citation statements)

References 28 publications

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“…1 Encryption [21,76,55,25,26,65,28,29,30,31,66,34,7,79,90,40,91,42,74,59,44,45,46,47,60,87,50,51,81,52,53,93,83,54,61] 2 Authentication [22,63,64,32,33,67,68,69,35,70,41,57,43,71,72,75,48,49,…”

Section: # Solutionsmentioning

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: # Solutionsmentioning

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%

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

2020

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A data privacy protection scheme for Internet of things based on blockchain

Gong

Mei

Feng³

et al. 2020

Trans Emerging Tel Tech

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In recent years, the Internet of things (IoT) equipment has grown rapidly, and the scale of the IoT has also expanded. The IoT is deployed in the system in a centralized manner. At the same time that massive data has put a certain amount of pressure on the storage, the open network environment has not fully protected the privacy of the IoT data, which has become one of the important factors restricting the development of the IoT. Blockchain is a point‐to‐point distributed ledger technology based on cryptographic algorithms. The characteristics of decentralization, tamper resistance, anonymity, and public verifiability can alleviate data security issues in IoT. Ring signature and proxy reencryption are common encryption technologies in the field of privacy protection. Therefore, this article combines blockchain technology with ring signature and proxy reencryption to propose a privacy protection solution for the IoT. Through this solution, the data authorized for sharing in the IoT is transmitted in the system in the form of ciphertext, the identity information of the data sender is protected, and the distributed ledger eases the pressure of mass data storage on a centralized server. The correctness and safety of the proposed scheme are also analyzed.

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