FP2E: Flexible, effective and privacy preserving cloud data sharing scheme

Author(s):  
Imad El Ghoubach ◽  
Rachid Benabbou ◽  
Fatiha Mrabti
Author(s):  
V. Keerthi ◽  
T. Anuradha

A shift in computation from PC’s to Cloud allows more number of users to involve in cooperative computation on various categories of data wish to merge their expertise and thereby gain more useful information without leaking their own sensitive information. In the case of data collected from various sensors in an agricultural farm IoT device, the cloud and customers can cooperate to provide adequate services; benefits to experts, research stations related to agriculture. Enormous Agriculture Data generated is related to Soil, weather, Research, crop, farmers, Agriculture marketing, Agri-IOT, fertilizers and pesticide makes cloud as a centralized resource.The exchange of information and research will inculcate a healthy competitive atmosphere in the country in agriculture. Sharing of data, computation, services across cloud boundaries with different clients at different places will enhance expertise suggestions and results to farming field which benefit to improve countries economy. Federation of cloud will allow resource and data sharing, but the security threats severely limit the application development as the usage of data processing or sharing mechanisms will leak private information. So in this research paper, a Polynomial Based Encryption Secret Sharing Scheme (PBESSS)is proposed as Federated cloud data exchange system with multiple cloud instances of the same cloud host or separate computing hosts.


2019 ◽  
Vol 10 (6) ◽  
pp. 1-23 ◽  
Author(s):  
Wenjuan Tang ◽  
Ju Ren ◽  
Kuan Zhang ◽  
Deyu Zhang ◽  
Yaoxue Zhang ◽  
...  

2018 ◽  
Vol 70 ◽  
pp. 978-986 ◽  
Author(s):  
Liming Fang ◽  
Chunpeng Ge ◽  
Zhiqiu Huang ◽  
Jiandong Wang

Author(s):  
Xin Dong ◽  
Jiadi Yu ◽  
Yuan Luo ◽  
Yingying Chen ◽  
Guangtao Xue ◽  
...  

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Zhuo Zhao ◽  
Chingfang Hsu ◽  
Lein Harn ◽  
Qing Yang ◽  
Lulu Ke

Internet of Medical Things (IoMT) is a kind of Internet of Things (IoT) that includes patients and medical sensors. Patients can share real-time medical data collected in IoMT with medical professionals. This enables medical professionals to provide patients with efficient medical services. Due to the high efficiency of cloud computing, patients prefer to share gathering medical information using cloud servers. However, sharing medical data on the cloud server will cause security issues, because these data involve the privacy of patients. Although recently many researchers have designed data sharing schemes in medical domain for security purpose, most of them cannot guarantee the anonymity of patients and provide access control for shared health data, and further, they are not lightweight enough for IoMT. Due to these security and efficiency issues, a novel lightweight privacy-preserving data sharing scheme is constructed in this paper for IoMT. This scheme can achieve the anonymity of patients and access control of shared medical data. At the same time, it satisfies all described security features. In addition, this scheme can achieve lightweight computations by using elliptic curve cryptography (ECC), XOR operations, and hash function. Furthermore, performance evaluation demonstrates that the proposed scheme takes less computation cost through comparison with similar solutions. Therefore, it is fairly an attractive solution for efficient and secure data sharing in IoMT.


2019 ◽  
Vol 92 ◽  
pp. 644-655 ◽  
Author(s):  
Qinglei Kong ◽  
Rongxing Lu ◽  
Maode Ma ◽  
Haiyong Bao

2016 ◽  
Vol 74 ◽  
pp. 44-55 ◽  
Author(s):  
Chen Lyu ◽  
Shi-Feng Sun ◽  
Yuanyuan Zhang ◽  
Amit Pande ◽  
Haining Lu ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document