scholarly journals Efficient Privacy-Preserving Access Control of Mobile Multimedia Data in Cloud Computing

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 131534-131542 ◽  
Author(s):  
Qi Li ◽  
Youliang Tian ◽  
Yinghui Zhang ◽  
Limin Shen ◽  
Jingjing Guo
Keyword(s):  
Cloud Computing ◽  
Access Control ◽  
Privacy Preserving ◽  
Multimedia Data ◽  
Mobile Multimedia

Anonymous Authentication for Privacy Preserving of Multimedia Data in the Cloud

2020 ◽  
pp. 48-72
Author(s):  
Sadiq J. Almuairfi ◽  
Mamdouh Alenezi
Keyword(s):  
Cloud Computing ◽  
Cost Saving ◽  
Private Information ◽  
Reversible Data Hiding ◽  
Privacy Preserving ◽  
Multimedia Data ◽  
Anonymous Authentication ◽  
Computationally Expensive ◽  
New Research ◽  
Cloud Servers

Cloud computing technology provides cost-saving and flexibility of services for users. With the explosion of multimedia data, more and more data owners would outsource their personal multimedia data on the cloud. In the meantime, some computationally expensive tasks are also undertaken by cloud servers. However, the outsourced multimedia data and its applications may reveal the data owner's private information because the data owners lose control of their data. Recently, this thought has aroused new research interest on privacy-preserving reversible data hiding over outsourced multimedia data. Anonymous Authentication Scheme will be proposed in this chapter as the most relatable, applicable, and appropriate techniques to be adopted by the cloud computing professionals for the eradication of risks that have been associated with the risks and challenges of privacy.

Anonymous Authentication for Privacy Preserving of Multimedia Data in the Cloud

2021 ◽  
pp. 428-452
Author(s):  
Sadiq J. Almuairfi ◽  
Mamdouh Alenezi
Keyword(s):  
Cloud Computing ◽  
Cost Saving ◽  
Private Information ◽  
Reversible Data Hiding ◽  
Privacy Preserving ◽  
Multimedia Data ◽  
Anonymous Authentication ◽  
Computationally Expensive ◽  
New Research ◽  
Cloud Servers

Cloud computing technology provides cost-saving and flexibility of services for users. With the explosion of multimedia data, more and more data owners would outsource their personal multimedia data on the cloud. In the meantime, some computationally expensive tasks are also undertaken by cloud servers. However, the outsourced multimedia data and its applications may reveal the data owner's private information because the data owners lose control of their data. Recently, this thought has aroused new research interest on privacy-preserving reversible data hiding over outsourced multimedia data. Anonymous Authentication Scheme will be proposed in this chapter as the most relatable, applicable, and appropriate techniques to be adopted by the cloud computing professionals for the eradication of risks that have been associated with the risks and challenges of privacy.

Privacy-preserving public auditing for educational multimedia data in cloud computing

2015 ◽  
Vol 75 (21) ◽  
pp. 13077-13091 ◽  
Author(s):  
Daeyeong Kim ◽  
Hyunsoo Kwon ◽  
Changhee Hahn ◽  
Junbeom Hur
Keyword(s):  
Cloud Computing ◽  
Privacy Preserving ◽  
Multimedia Data ◽  
Public Auditing ◽  
Educational Multimedia

Fog-Aided Verifiable Privacy Preserving Access Control for Latency-Sensitive Data Sharing in Vehicular Cloud Computing

IEEE Network ◽  
2018 ◽  
Vol 32 (3) ◽  
pp. 7-13 ◽  
Author(s):  
Kaiping Xue ◽  
Jianan Hong ◽  
Yongjin Ma ◽  
David S. L. Wei ◽  
Peilin Hong ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Access Control ◽  
Data Sharing ◽  
Privacy Preserving ◽  
Sensitive Data ◽  
Vehicular Cloud Computing ◽  
Vehicular Cloud

scholarly journals Classification and Privacy Preserving Search of Multimedia Data

2018 ◽  
Vol 7 (3.34) ◽  
pp. 259
Author(s):  
J Jeejo Vetharaj ◽  
S Selvanayaki ◽  
M B.Suseela
Keyword(s):  
Data Mining ◽  
Cloud Computing ◽  
Classification Problem ◽  
Privacy Preserving ◽  
Multimedia Data ◽  
Relational Data ◽  
Encrypted Data ◽  
Classification Techniques ◽  
Security Models ◽  
Privacy Issues

Classification, which is commonly used task in data mining applications separates the data present in the database based on some category. For years and years, considering the rise of several privacy issues, solutions in the form of theoretical and practical have been proposed for the classification problem under various security models. However, for the late Notoriety about cloud computing, clients presently have the chance on outsource their data, clinched alongside encrypted form, and also those information mining assignments of the cloud.. The data on the cloud which is in encrypted form, therefore existing privacy preserving classification techniques are not applicable. In this paper, we focus on finding solution for the classification problem over the encrypted data .Users can store their data with encryption by the use of ordered relational data. So, the data is obtained correctly without decrypting. 

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