User Data Integrating with Anti-Collusion Scheme and SVC in Cloud Groups - International Journal of Trend in Scientific Research and Development

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Thursday, 18 January 2018

User Data Integrating with Anti-Collusion Scheme and SVC in Cloud Groups


In cloud computing, user can share data among group members with the characters of less maintenance and little management cost. Sharing data must have security guarantees, if they are out sourced. Sharing data while providing privacy preserving is still a challenging problem, when change of the membership. 


It might cause to the collusion attack for an unsecured cloud. For existing technique, security of key distribution is based on the secure communication channel, however, to have such channel is a strong assumption and is difficult for practice. We propose a secure data sharing scheme for dynamic users. Key distribution done without any secure communication channels and the user can get the individual key from group manager.

Data deduplication is one of the techniques which used to solve the repetition of data. Our proposed system prevents the replication of files and media file like images, videos. The deduplication techniques are generally used in the cloud server for reducing the space of the server. To prevent the unauthorized use of data accessing and create duplicate data on cloud the encryption technique to encrypt the data before stored on cloud server. 

CloudMe is proposed for cloud storage. All files of data owners are encrypted using AES algorithm and stored in real cloud. Thus we present a secure system architecture design as our initial effort towards this direction, which bridges together the advancements of video coding techniques and secure deduplication.Our design enables the cloud with the crucial deduplication functionality to completely eliminate the extra storage and bandwidth cost. 

BY Meenambigai. D | Mathavan. V "User Data Integrating with Anti-Collusion Scheme and SVC in Cloud Groups" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-2 , February 2018, 

URL: http://www.ijtsrd.com/papers/ijtsrd9607.pdf

Direct Link - http://www.ijtsrd.com/engineering/computer-engineering/9607/user-data-integrating-with-anti-collusion-scheme-and-svc-in-cloud-groups/meenambigai-d

peer reviewed journal, call for paper international journal, research papers

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