Enabling Public Accountability and Data Sharing for Storage Security in Cloud Computing

2014 ◽  
Vol 2014 (1) ◽  
pp. 1-10
Author(s):  
Anny Sekar ◽  
◽  
Mohammed Ameen ◽  
NCICCNDA ◽  
2018 ◽  
Author(s):  
Kavya P ◽  
Manjula S ◽  
Neethu Kuwar ◽  
Nikitha R ◽  
Gururaj KS

2021 ◽  
Vol 1055 (1) ◽  
pp. 012108
Author(s):  
M Arumugam ◽  
S Deepa ◽  
G Arun ◽  
P Sathishkumar ◽  
K Jeevanantham

2021 ◽  
Vol 16 ◽  
pp. 2579-2580
Author(s):  
Caihui Lan ◽  
Caifen Wang ◽  
Haifeng Li ◽  
Liangliang Liu

IEEE Access ◽  
2016 ◽  
Vol 4 ◽  
pp. 7899-7911 ◽  
Author(s):  
Bin Feng ◽  
Xinzhu Ma ◽  
Cheng Guo ◽  
Hui Shi ◽  
Zhangjie Fu ◽  
...  

2018 ◽  
Vol 72 ◽  
pp. 1-12 ◽  
Author(s):  
Jin Li ◽  
Yinghui Zhang ◽  
Xiaofeng Chen ◽  
Yang Xiang

2018 ◽  
Vol 8 (12) ◽  
pp. 2519
Author(s):  
Wei Li ◽  
Wei Ni ◽  
Dongxi Liu ◽  
Ren Liu ◽  
Shoushan Luo

With the rapid development of cloud computing, it is playing an increasingly important role in data sharing. Meanwhile, attribute-based encryption (ABE) has been an effective way to share data securely in cloud computing. In real circumstances, there is often a mutual access sub-policy in different providers’ access policies, and the significance of each attribute is usual diverse. In this paper, a secure and efficient data-sharing scheme in cloud computing, which is called unified ciphertext-policy weighted attribute-based encryption (UCP-WABE), is proposed. The weighted attribute authority assigns weights to attributes depending on their importance. The mutual information extractor extracts the mutual access sub-policy and generates the mutual information. Thus, UCP-WABE lowers the total encryption time cost of multiple providers. We prove that UCP-WABE is selectively secure on the basis of the security of ciphertext-policy weighted attribute-based encryption (CP-WABE). Additionally, the results of the implementation shows that UCP-WABE is efficient in terms of time.


2013 ◽  
Vol 70 (24) ◽  
pp. 33-37 ◽  
Author(s):  
Navdeep Aggarwal ◽  
Parshant Tyagi ◽  
Bhanu P. Dubey ◽  
Emmanuel S. Pilli

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Jiawei Zhang ◽  
Ning Lu ◽  
Teng Li ◽  
Jianfeng Ma

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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