An Association Probability Based Noise Generation Strategy for Privacy Protection in Cloud Computing

Author(s):  
Gaofeng Zhang ◽  
Xuyun Zhang ◽  
Yun Yang ◽  
Chang Liu ◽  
Jinjun Chen
2012 ◽  
Vol 03 (04) ◽  
pp. 145-151 ◽  
Author(s):  
Y. Tony Yang ◽  
Kari Borg

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3894 ◽  
Author(s):  
Bing Jia ◽  
Tao Zhou ◽  
Wuyungerile Li ◽  
Zhenchang Liu ◽  
Jiantao Zhang

Crowd sensing is a perception mode that recruits mobile device users to complete tasks such as data collection and cloud computing. For the cloud computing platform, crowd sensing can not only enable users to collaborate to complete large-scale awareness tasks but also provide users for types, social attributes, and other information for the cloud platform. In order to improve the effectiveness of crowd sensing, many incentive mechanisms have been proposed. Common incentives are monetary reward, entertainment & gamification, social relation, and virtual credit. However, there are rare incentives based on privacy protection basically. In this paper, we proposed a mixed incentive mechanism which combined privacy protection and virtual credit called a blockchain-based location privacy protection incentive mechanism in crowd sensing networks. Its network structure can be divided into three parts which are intelligence crowd sensing networks, confusion mechanism, and blockchain. We conducted the experiments in the campus environment and the results shows that the incentive mechanism proposed in this paper has the efficacious effect in stimulating user participation.


2019 ◽  
Vol 37 (6) ◽  
pp. 970-983 ◽  
Author(s):  
Zongda Wu ◽  
Jian Xie ◽  
Xinze Lian ◽  
Jun Pan

Purpose The security of archival privacy data in the cloud has become the main obstacle to the application of cloud computing in archives management. To this end, aiming at XML archives, this paper aims to present a privacy protection approach that can ensure the security of privacy data in the untrusted cloud, without compromising the system availability. Design/methodology/approach The basic idea of the approach is as follows. First, the privacy data before being submitted to the cloud should be strictly encrypted on a trusted client to ensure the security. Then, to query the encrypted data efficiently, the approach constructs some key feature data for the encrypted data, so that each XML query defined on the privacy data can be executed correctly in the cloud. Findings Finally, both theoretical analysis and experimental evaluation demonstrate the overall performance of the approach in terms of security, efficiency and accuracy. Originality/value This paper presents a valuable study attempting to protect privacy for the management of XML archives in a cloud environment, so it has a positive significance to promote the application of cloud computing in a digital archive system.


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