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

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. 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: https://www.ijtsrd.com/papers/ijtsrd9607.pdf Paper URL: http://www.ijtsrd.com/engineering/computer-engineering/9607/user-data-integrating-with-anti-collusion-scheme-and-svc-in-cloud-groups/meenambigai-d

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A Review Paper on Leveraging Data Duplication to Improve the Performance of Storage System with CLD and EHD Image Matchi

A Review Paper on Leveraging Data Duplication to Improve the Performance of Storage System with CLD and EHD Image Matchi

With the explosive growth in data volume, the I O bottleneck has become an increasingly daunting challenge for big data analytics in the Cloud. In existing paper, propose POD, a performance oriented deduplication scheme, to improve the performance of primary storage systems in the Cloud by leveraging data deduplication on the I O path to remove redundant write requests while also saving storage space. This research works aims to remove data duplication in the cloud. Improve the performance of storage system. We use concept of image processing to utilize the space. In this paper we discussed about the design and implementation of data duplication to improve the efficiency of storage in cloud. This system, implements wireless data access to servers. An alternative method for us is remove the data duplication in storage system by using web based application in which we can use two matching technic CLD color layout descriptor and EHD enhance histogram descriptor .User can browse image and upload the image on web page then we apply CLD and EHD technic and then see uploaded image is already store on cloud or not, if there is matching image like uploaded image then we extract referenced of already store image then send to the receiver and receiver can receive the image. If there is no matching image then upload new image to database. By extracting reference of already store image there is no need to upload again same image to database so, we can remove data duplication, improve the storage space efficiency and utilize network bandwidth so, our system more effective than the data deduplication to improve the performance of primary storage system. Pooja M. Khandar | Dr. H R. Deshmukh "A Review Paper on Leveraging Data Duplication to Improve the Performance of Storage System with CLD and EHD Image Matching in the Cloud" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3 , April 2018, URL: https://www.ijtsrd.com/papers/ijtsrd11131.pdf Paper URL: http://www.ijtsrd.com/engineering/computer-engineering/11131/a-review-paper-on-leveraging-data-duplication-to-improve-the-performance-of-storage-system-with-cld-and-ehd-image-matching-in-the-cloud/pooja--m-khandar

52 views • 4 slides


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