scholarly journals A Fine-Grained and Lightweight Data Access Control Model for Mobile Cloud Computing

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 836-848
Author(s):  
Somchart Fugkeaw
Keyword(s):  
Cloud Computing ◽  
Access Control ◽  
Mobile Cloud Computing ◽  
Data Access ◽  
Control Model ◽  
Mobile Cloud ◽  
Access Control Model ◽  
Fine Grained ◽  
Data Access Control

scholarly journals Effective Data Access Control in Mobile Cloud Computing Using LDSS CP-ABE

NCICCNDA ◽  
2018 ◽  
Author(s):  
Anusha R ◽  
S. Meenakshi Sundaram ◽  
Asha P ◽  
Bhargavi Y ◽  
Bindu Jayaram
Keyword(s):  
Cloud Computing ◽  
Access Control ◽  
Mobile Cloud Computing ◽  
Data Access ◽  
Mobile Cloud ◽  
Data Access Control

Attribute-based data access control in mobile cloud computing: Taxonomy and open issues

2017 ◽  
Vol 72 ◽  
pp. 273-287 ◽  
Author(s):  
Mehdi Sookhak ◽  
F. Richard Yu ◽  
Muhammad Khurram Khan ◽  
Yang Xiang ◽  
Rajkumar Buyya
Keyword(s):  
Cloud Computing ◽  
Access Control ◽  
Mobile Cloud Computing ◽  
Data Access ◽  
Mobile Cloud ◽  
Data Access Control ◽  
Open Issues

scholarly journals Enabling Efficient Decentralized and Privacy Preserving Data Sharing in Mobile Cloud Computing

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Jiawei Zhang ◽  
Ning Lu ◽  
Teng Li ◽  
Jianfeng Ma
Keyword(s):  
Cloud Computing ◽  
Access Control ◽  
Mobile Devices ◽  
Data Sharing ◽  
Mobile Cloud Computing ◽  
High Efficiency ◽  
Mobile Cloud ◽  
User Privacy ◽  
Access Policy ◽  
Fine Grained

Mobile cloud computing (MCC) is embracing rapid development these days and able to provide data outsourcing and sharing services for cloud users with pervasively smart mobile devices. Although these services bring various conveniences, many security concerns such as illegally access and user privacy leakage are inflicted. Aiming to protect the security of cloud data sharing against unauthorized accesses, many studies have been conducted for fine-grained access control using ciphertext-policy attribute-based encryption (CP-ABE). However, a practical and secure data sharing scheme that simultaneously supports fine-grained access control, large university, key escrow free, and privacy protection in MCC with expressive access policy, high efficiency, verifiability, and exculpability on resource-limited mobile devices has not been fully explored yet. Therefore, we investigate the challenge and propose an Efficient and Multiauthority Large Universe Policy-Hiding Data Sharing (EMA-LUPHDS) scheme. In this scheme, we employ fully hidden policy to preserve the user privacy in access policy. To adapt to large scale and distributed MCC environment, we optimize multiauthority CP-ABE to be compatible with large attribute universe. Meanwhile, for the efficiency purpose, online/offline and verifiable outsourced decryption techniques with exculpability are leveraged in our scheme. In the end, we demonstrate the flexibility and high efficiency of our proposal for data sharing in MCC by extensive performance evaluation.

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