Enhancing data and privacy security in mobile cloud computing through quantum cryptography

Liu, Yanheng; Sun, X.; Song, Lijun

doi:10.1109/icsess.2016.7883094

Cited by 17 publications

(9 citation statements)

References 4 publications

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“…In the sector of corporate cloud security applications, several companies such as Acronis and Alibaba are also applying quantum-safe encryption to cloud data protection [503]. With respect to the application of QKD for cloud computing, a series of problems have been addressed, covering access control [504], authentication [505], data and privacy security [506], cloud containers [507], as well as cloud storage and data dynamics [508].…”

Section: Application Areasmentioning

confidence: 99%

The Evolution of Quantum Key Distribution Networks: On the Road to the Qinternet

Cao

Zhao

Qin

et al. 2022

IEEE Commun. Surv. Tutorials

204

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Section: Application Areasmentioning

confidence: 99%

The Evolution of Quantum Key Distribution Networks: On the Road to the Qinternet

Cao

Zhao

Qin

et al. 2022

IEEE Commun. Surv. Tutorials

204

View full text Add to dashboard Cite

“…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%

“…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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“…As can be seen that cryptography is a popular methodology for preserving privacy in different areas. Besides preserving privacy in data mining [22] or in cloud computing [23], it is also used to preserve privacy in social networks. As an illustration, Sakib and Huang [24] proposed a protocol based on elliptic curve cryptography to test whether two users in a social network are in an agreed distance range without disclosing their exact locations.…”

Section: Introductionmentioning

confidence: 99%

Privacy issues in social networks and analysis: a comprehensive survey

Pham

Sood

et al. 2018

IET Networks

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Social networks have become part of today's life; however, they also create numerous privacy problems for their users as they reveal sensitive information. Thus, the privacy preservation has become a big problem in social networks and there are several researches related to this topic. However, the current research achievements for this issue are only ad hoc solutions and the broad picture of the problem is not clear. This paper surveys a wide range of related researches and realises that the topic includes many sub-areas; for example, the privacy in publishing social network data for the use of third-party consumers or the privacy of users in the leakage of individuals' information to unexpected people in their social circle. The study also analyses the advantages as well as limitations of proposed solutions. On the basis of that the research outlines key outstanding issues and recommends directions for the future research. Moreover, the research also investigates common privacy metrics and popular privacy-preserving techniques to provide readers some basic tools to resolve open problems in the topic. The ultimate purpose of this research is to pave a solid background for people, who are interested in the topic, to do research further.

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Enhancing data and privacy security in mobile cloud computing through quantum cryptography

Cited by 17 publications

References 4 publications

The Evolution of Quantum Key Distribution Networks: On the Road to the Qinternet

The Evolution of Quantum Key Distribution Networks: On the Road to the Qinternet

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

Privacy issues in social networks and analysis: a comprehensive survey

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