Multi Party Secure Data Access Management in Cloud Using User Centric Block Chain Data Encryption

Author(s):  
Arulananth T S ◽  
Baskar M ◽  
Anbarasu V ◽  
Thiyagarajan R ◽  
Rajendran T ◽  
...  
2016 ◽  
Vol 96 (4) ◽  
pp. 5295-5314 ◽  
Author(s):  
Xiong Li ◽  
Saru Kumari ◽  
Jian Shen ◽  
Fan Wu ◽  
Caisen Chen ◽  
...  

2019 ◽  
Vol 7 (4) ◽  
pp. 225
Author(s):  
Made Dimas Dwi Sutanegara ◽  
Cokorda Rai Adi Pramartha

PT. Telkom Indonesia is a State-Owned Enterprise (BUMN) that provides the largest telecommunications and network services in Indonesia. Data Access Management (DAMAN) is one of the divisions whose task is to update SISKA data, purify network data, and generate Iranian Optical Distribution Purpose (ODP). ODP functions as a protection or place for fiber optic cables at each Telkom pole. ODP can be viewed through the starclik website, for ODP that is not visible on the platform it could be because full ODP or ODP data is not correct on the server, due to the possibility that the field staff did not report the latest data to the division. So that it requires an ODP reporting reminder system to reduce errors that do not arise from ODP.


2021 ◽  
Author(s):  
Mark Howison ◽  
Mintaka Angell ◽  
Michael Hicklen ◽  
Justine S. Hastings

A Secure Data Enclave is a system that allows data owners to control data access and ensure data security while facilitating approved uses of data by other parties. This model of data use offers additional protections and technical controls for the data owner compared to the more commonly used approach of transferring data from the owner to another party through a data sharing agreement. Under the data use model, the data owner retains full transparency and auditing over the other party’s access, which can be difficult to achieve in practice with even the best legal instrument for data sharing. We describe the key technical requirements for a Secure Data Enclave and provide a reference architecture for its implementation on the Amazon Web Services platform using managed cloud services.


Author(s):  
Abdul MATEEN ◽  
Abdul RAUF ◽  
Abdul HANAN ABDULLAH ◽  
Mahmood ASHRAF

Now-a-days data plays a key role in Information Technology and while coming to privacy of that data it has become a considerable issue to maintain data security at high level. Large amounts of data generated through devices are considered as a major obstacle and also tough to handle in real time scenarios. To meetwith consistent performance applications at present abandon encryptions techniquesbecausethe time for the execution and the completion of encryption techniques plays a key role during processing and transmissions of data. In this paper our moto is to secure data and proposed a new technique called Dynamic Data Encryption Strategy (DDES)which selectively encrypts data and uses some algorithms which provides a perfect encryption strategy for the data packages under some timing constraints. By this method we can achieve data privacy and security for big-data in mobile cloud-computing by using an encryption strategy respective to their requirements during execution time.


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