Data Deduplication Encrypted Cloud by Anisha Gnana (7 results)

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    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2018

      6139932815 / 9786139932818

      • Softcover

      Seller: Revaluation Books, Exeter, United KingdomRevaluation Books

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      Paperback. Condition: Brand New. 88 pages. 8.66x5.91x0.20 inches. In Stock.

    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2018

      6139932815 / 9786139932818

      • Softcover

      Seller: preigu, Osnabrück, Germanypreigu

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      Taschenbuch. Condition: Neu. Data Deduplication On Encrypted Cloud Storage | Securing Cloud Storage | V. G. Anisha Gnana Vincy (u. a.) | Taschenbuch | 88 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786139932818 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2018

      6139932815 / 9786139932818

      • Softcover

      Seller: Mispah books, Redhill, SURRE, United KingdomMispah books

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      paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

    • Language: English

      Published by LAP LAMBERT Academic Publishing Okt 2018, 2018

      6139932815 / 9786139932818

      • Softcover
      • Print on Demand

      Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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      Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources. The most important and popular cloud service is data storage. Large data sets provide a lot of information extraction security and privacy concerns arise as users sensitive data are susceptible to both inside and outside attacks in cloud storage. However, encrypted data introduce new challenges for cloud data deduplication. Traditional deduplication scheme cannot work on encrypted data, which suffer from security weakness. To protect the confidentiality of the sensitive data while supporting deduplication, the convergent encryption technique has been proposed to encrypt the data before outsourcing. In this paper we propose a scheme to reduplicate encrypted data stored in cloud, which is the one of the data mining techniques for eliminating duplicate copies of redundant data to reduce the amount of storage space and save bandwidth. This technique can flexibly support data sharing with deduplication and it does not intrude the privacy of data holders. Using this project, we improve the efficiency and effectiveness of the deduplication on encrypted data. 88 pp. Englisch.

    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2018

      6139932815 / 9786139932818

      • Softcover
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      Seller: moluna, Greven, Germanymoluna

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      Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Anisha Gnana Vincy V.G.Mrs. V.G. Anisha Gnana Vincy is working as an Assistant Professor in the Department of Computer Science and Engineering, V V College of Engineering, Tisaiyanvilai, Tamilnadu, India.Cloud computing is a mode.

    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2018

      6139932815 / 9786139932818

      • Softcover
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      Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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      Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources. The most important and popular cloud service is data storage. Large data sets provide a lot of information extraction security and privacy concerns arise as users sensitive data are susceptible to both inside and outside attacks in cloud storage. However, encrypted data introduce new challenges for cloud data deduplication. Traditional deduplication scheme cannot work on encrypted data, which suffer from security weakness. To protect the confidentiality of the sensitive data while supporting deduplication, the convergent encryption technique has been proposed to encrypt the data before outsourcing. In this paper we propose a scheme to reduplicate encrypted data stored in cloud, which is the one of the data mining techniques for eliminating duplicate copies of redundant data to reduce the amount of storage space and save bandwidth. This technique can flexibly support data sharing with deduplication and it does not intrude the privacy of data holders. Using this project, we improve the efficiency and effectiveness of the deduplication on encrypted data.

    • Language: English

      Published by LAP LAMBERT Academic Publishing Okt 2018, 2018

      6139932815 / 9786139932818

      • Softcover
      • Print on Demand

      Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000

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      Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources. The most important and popular cloud service is data storage. Large data sets provide a lot of information extraction security and privacy concerns arise as users sensitive data are susceptible to both inside and outside attacks in cloud storage. However, encrypted data introduce new challenges for cloud data deduplication. Traditional deduplication scheme cannot work on encrypted data, which suffer from security weakness. To protect the confidentiality of the sensitive data while supporting deduplication, the convergent encryption technique has been proposed to encrypt the data before outsourcing. In this paper we propose a scheme to reduplicate encrypted data stored in cloud, which is the one of the data mining techniques for eliminating duplicate copies of redundant data to reduce the amount of storage space and save bandwidth. This technique can flexibly support data sharing with deduplication and it does not intrude the privacy of data holders. Using this project, we improve the efficiency and effectiveness of the deduplication on encrypted data.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 88 pp. Englisch.