Data Retrieval Model of Sports Score Using Cloud Computing

2020 ◽  
pp. 1127-1134
Author(s):  
Dan Wang
Keyword(s):  
Cloud Computing ◽  
Data Retrieval ◽  
Retrieval Model

scholarly journals A Secure Ciphertext Retrieval Scheme against Insider KGAs for Mobile Devices in Cloud Storage

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Run Xie ◽  
Chanlian He ◽  
Dongqing Xie ◽  
Chongzhi Gao ◽  
Xiaojun Zhang
Keyword(s):  
Cloud Computing ◽  
Mobile Devices ◽  
Data Privacy ◽  
Security Analysis ◽  
Data Retrieval ◽  
Sensitive Data ◽  
Encrypted Data ◽  
Security Issues ◽  
Efficiency Comparison ◽  
Cloud Servers

With the advent of cloud computing, data privacy has become one of critical security issues and attracted much attention as more and more mobile devices are relying on the services in cloud. To protect data privacy, users usually encrypt their sensitive data before uploading to cloud servers, which renders the data utilization to be difficult. The ciphertext retrieval is able to realize utilization over encrypted data and searchable public key encryption is an effective way in the construction of encrypted data retrieval. However, the previous related works have not paid much attention to the design of ciphertext retrieval schemes that are secure against inside keyword-guessing attacks (KGAs). In this paper, we first construct a new architecture to resist inside KGAs. Moreover we present an efficient ciphertext retrieval instance with a designated tester (dCRKS) based on the architecture. This instance is secure under the inside KGAs. Finally, security analysis and efficiency comparison show that the proposal is effective for the retrieval of encrypted data in cloud computing.

A taxonomically distributed data retrieval model

1998 ◽  
Vol 110 (1-3) ◽  
pp. 198-205
Author(s):  
M. Marquina ◽  
R. Ramos Pollán ◽  
A. Taddei
Keyword(s):  
Data Retrieval ◽  
Distributed Data ◽  
Retrieval Model

scholarly journals Medical Cloud Computing Data Processing to Optimize the Effect of Drugs

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Fengxia Li ◽  
Zhi Qu ◽  
Ruiling Li
Keyword(s):  
Cloud Computing ◽  
Large Scale ◽  
Vascular Endothelial Cells ◽  
Senile Dementia ◽  
Data Retrieval ◽  
Strong Stability ◽  
Image Feature ◽  
Computing Platform ◽  
Image Set ◽  
The Impact

In recent years, cloud computing technology is maturing in the process of growing. Hadoop originated from Apache Nutch and is an open-source cloud computing platform. Moreover, the platform is characterized by large scale, virtualization, strong stability, strong versatility, and support for scalability. It is necessary and far-reaching, based on the characteristics of unstructured medical images, to combine content-based medical image retrieval with the Hadoop cloud platform to conduct research. This study combines the impact mechanism of senile dementia vascular endothelial cells with cloud computing to construct a corresponding data retrieval platform of the cloud computing image set. Moreover, this study uses Hadoop’s core framework distributed file system HDFS to upload images, store the images in the HDFS and image feature vectors in HBase, and use MapReduce programming mode to perform parallel retrieval, and each of the nodes cooperates with each other. The results show that the proposed method has certain effects and can be applied to medical research.

Hierarchical Data Retrieval Model For Big Data

2013 ◽  
Vol 12 (24) ◽  
pp. 8176-8180
Author(s):  
Sijin Chen ◽  
Shao Bo Wu ◽  
Xue Ying Gao
Keyword(s):  
Big Data ◽  
Data Retrieval ◽  
Hierarchical Data ◽  
Retrieval Model

scholarly journals Secure and Efficient Data Retrieval in Cloud Computing

2015 ◽  
Vol V4 (04) ◽  
Author(s):  
Anuradha N. M ◽  
Prof. G. A. Patil ◽  
Keyword(s):  
Cloud Computing ◽  
Data Retrieval ◽  
Efficient Data
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