GDL

Journal from gdlhub / 2017-08-14 13:43:45
Oleh : D. Chandramohan, T. Vengattaraman, D. Rajaguru, P. Dhavache, King Saud University
Dibuat : 2017-01-14, dengan 1 file

Keyword : Privacy preservingPetri-netCohesionAuthorizationMulti-agentsWeb service
Url : http://www.sciencedirect.com/science/article/pii/S1319157815000877
Sumber pengambilan dokumen : web

In data analysis the present focus on storage services are leveraged to attain its crucial part while user data get compromised. In the recent years service user’s valuable information has been utilized by unauthorized users and service providers. This paper examines the privacy awareness and importance of user’s secrecy preserving in the current cloud computing era. Gradually the information kept under the cloud environment gets increased due to its elasticity and availability. However, highly sensitive information is in a serious attack from various sources. Once private information gets misused, the probability of privacy breaching increases which thereby reduces user’s trust on cloud providers. In the modern internet world, information management and maintenance is one among the most decisive tasks. Information stored in the cloud by the finance, healthcare, government sectors, etc. makes it all the more challenging since such tasks are to be handled globally. The present scenario therefore demands a new Petri-net Privacy Preserving Framework (PPPF) for safeguarding user’s privacy and, providing consistent and breach-less services from the cloud. This paper illustrates the design of PPPF and mitigates the cloud provider’s trust among users. The proposed technique conveys and collaborates with Privacy Preserving Cohesion Technique (PPCT), to develop validate, promote, adapt and also increase the need for data privacy. Moreover, this paper focuses on clinching and verification of unknown user intervention into the confidential data present in storage area and ensuring the performance of the cloud services. It also acts as an information preserving guard for high secrecy data

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