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Engineering searchable encryption of mobile cloud networks : when QoE meets QoP

Li, Hongwei, Liu, Dongxiao, Dai, Yuanshun and Luan, Tom H. 2015, Engineering searchable encryption of mobile cloud networks : when QoE meets QoP, IEEE wireless communications, vol. 22, no. 4, pp. 74-80, doi: 10.1109/MWC.2015.7224730.

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Title Engineering searchable encryption of mobile cloud networks : when QoE meets QoP
Author(s) Li, Hongwei
Liu, Dongxiao
Dai, Yuanshun
Luan, Tom H.
Journal name IEEE wireless communications
Volume number 22
Issue number 4
Start page 74
End page 80
Total pages 7
Publisher IEEE
Place of publication Piscataway, N.J.
Publication date 2015-08
ISSN 1536-1284
1558-0687
Summary Mobile cloud computing can effectively address the resource limitations of mobile devices, and is therefore essential to enable extensive resource consuming mobile computing and communication applications. Of all the mobile cloud computing applications, data outsourcing, such as iCloud, is fundamental, which outsources a mobile user's data to external cloud servers and accordingly provides a scalable and always on approach for public data access. With the security and privacy issues related to outsourced data becoming a rising concern, encryption on outsourced data is often necessary. Although encryption increases the quality of protection (QoP) of data outsourcing, it significantly reduces data usability and thus harms the mobile user's quality of experience (QoE). How to strike a balance between QoP and QoE is therefore an important yet challenging task. In this article we focus on the fundamental problem of QoP and QoE provisioning in searchable encryption of data outsourcing. We develop a fine-grained data search scheme and discuss its implementation on encrypted mobile cloud data, which is an effective balance between QoE and QoP in mobile cloud data outsourcing.
Language eng
DOI 10.1109/MWC.2015.7224730
Field of Research 080109 Pattern Recognition and Data Mining
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2015, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30083977

Document type: Journal Article
Collection: School of Information Technology
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