Big data cloud deduplication based on verifiable hash convergent group signcryption

Ei Mon Cho, Takeshi Koshiba

    研究成果: Conference contribution

    3 引用 (Scopus)

    抄録

    As Big Data cloud storage servers are becoming popular the shortage of disk space in the cloud becomes a problem. Data deduplication is a method to control the explosion growth of data on the cloud and most of the storage providers are finding more secure and efficient methods for their sensitive data. Recently, an interesting technique called signcryption has been proposed, in which both the properties of signature (ownership) and encryption are simultaneously implemented, with better performance than the traditional signature-then-encryption approach. According to the deduplication, we introduce a new method for a group of users that can eliminate redundant encrypted data owned by different users. Furthermore, we generate the tag which will be the key component of big data management. We propose a new primitive group signcryption for deduplication called verifiable hash convergent group signcryption (VHCGS) by adding the properties of group signcryption and the verification facilities for the storage server (third party).

    元の言語English
    ホスト出版物のタイトルProceedings - 3rd IEEE International Conference on Big Data Computing Service and Applications, BigDataService 2017
    出版者Institute of Electrical and Electronics Engineers Inc.
    ページ265-270
    ページ数6
    ISBN(電子版)9781509063185
    DOI
    出版物ステータスPublished - 2017 6 8
    イベント3rd IEEE International Conference on Big Data Computing Service and Applications, BigDataService 2017 - San Francisco, United States
    継続期間: 2017 4 62017 4 10

    Other

    Other3rd IEEE International Conference on Big Data Computing Service and Applications, BigDataService 2017
    United States
    San Francisco
    期間17/4/617/4/10

    Fingerprint

    Cryptography
    Servers
    Information management
    Explosions
    Big data

    ASJC Scopus subject areas

    • Computer Science Applications
    • Information Systems

    これを引用

    Cho, E. M., & Koshiba, T. (2017). Big data cloud deduplication based on verifiable hash convergent group signcryption. : Proceedings - 3rd IEEE International Conference on Big Data Computing Service and Applications, BigDataService 2017 (pp. 265-270). [7944949] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BigDataService.2017.37

    Big data cloud deduplication based on verifiable hash convergent group signcryption. / Cho, Ei Mon; Koshiba, Takeshi.

    Proceedings - 3rd IEEE International Conference on Big Data Computing Service and Applications, BigDataService 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 265-270 7944949.

    研究成果: Conference contribution

    Cho, EM & Koshiba, T 2017, Big data cloud deduplication based on verifiable hash convergent group signcryption. : Proceedings - 3rd IEEE International Conference on Big Data Computing Service and Applications, BigDataService 2017., 7944949, Institute of Electrical and Electronics Engineers Inc., pp. 265-270, 3rd IEEE International Conference on Big Data Computing Service and Applications, BigDataService 2017, San Francisco, United States, 17/4/6. https://doi.org/10.1109/BigDataService.2017.37
    Cho EM, Koshiba T. Big data cloud deduplication based on verifiable hash convergent group signcryption. : Proceedings - 3rd IEEE International Conference on Big Data Computing Service and Applications, BigDataService 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 265-270. 7944949 https://doi.org/10.1109/BigDataService.2017.37
    Cho, Ei Mon ; Koshiba, Takeshi. / Big data cloud deduplication based on verifiable hash convergent group signcryption. Proceedings - 3rd IEEE International Conference on Big Data Computing Service and Applications, BigDataService 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 265-270
    @inproceedings{161dfab59ddc498980f417952ff42729,
    title = "Big data cloud deduplication based on verifiable hash convergent group signcryption",
    abstract = "As Big Data cloud storage servers are becoming popular the shortage of disk space in the cloud becomes a problem. Data deduplication is a method to control the explosion growth of data on the cloud and most of the storage providers are finding more secure and efficient methods for their sensitive data. Recently, an interesting technique called signcryption has been proposed, in which both the properties of signature (ownership) and encryption are simultaneously implemented, with better performance than the traditional signature-then-encryption approach. According to the deduplication, we introduce a new method for a group of users that can eliminate redundant encrypted data owned by different users. Furthermore, we generate the tag which will be the key component of big data management. We propose a new primitive group signcryption for deduplication called verifiable hash convergent group signcryption (VHCGS) by adding the properties of group signcryption and the verification facilities for the storage server (third party).",
    keywords = "Big Data, Deduplication, Signcryption",
    author = "Cho, {Ei Mon} and Takeshi Koshiba",
    year = "2017",
    month = "6",
    day = "8",
    doi = "10.1109/BigDataService.2017.37",
    language = "English",
    pages = "265--270",
    booktitle = "Proceedings - 3rd IEEE International Conference on Big Data Computing Service and Applications, BigDataService 2017",
    publisher = "Institute of Electrical and Electronics Engineers Inc.",
    address = "United States",

    }

    TY - GEN

    T1 - Big data cloud deduplication based on verifiable hash convergent group signcryption

    AU - Cho, Ei Mon

    AU - Koshiba, Takeshi

    PY - 2017/6/8

    Y1 - 2017/6/8

    N2 - As Big Data cloud storage servers are becoming popular the shortage of disk space in the cloud becomes a problem. Data deduplication is a method to control the explosion growth of data on the cloud and most of the storage providers are finding more secure and efficient methods for their sensitive data. Recently, an interesting technique called signcryption has been proposed, in which both the properties of signature (ownership) and encryption are simultaneously implemented, with better performance than the traditional signature-then-encryption approach. According to the deduplication, we introduce a new method for a group of users that can eliminate redundant encrypted data owned by different users. Furthermore, we generate the tag which will be the key component of big data management. We propose a new primitive group signcryption for deduplication called verifiable hash convergent group signcryption (VHCGS) by adding the properties of group signcryption and the verification facilities for the storage server (third party).

    AB - As Big Data cloud storage servers are becoming popular the shortage of disk space in the cloud becomes a problem. Data deduplication is a method to control the explosion growth of data on the cloud and most of the storage providers are finding more secure and efficient methods for their sensitive data. Recently, an interesting technique called signcryption has been proposed, in which both the properties of signature (ownership) and encryption are simultaneously implemented, with better performance than the traditional signature-then-encryption approach. According to the deduplication, we introduce a new method for a group of users that can eliminate redundant encrypted data owned by different users. Furthermore, we generate the tag which will be the key component of big data management. We propose a new primitive group signcryption for deduplication called verifiable hash convergent group signcryption (VHCGS) by adding the properties of group signcryption and the verification facilities for the storage server (third party).

    KW - Big Data

    KW - Deduplication

    KW - Signcryption

    UR - http://www.scopus.com/inward/record.url?scp=85022226041&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=85022226041&partnerID=8YFLogxK

    U2 - 10.1109/BigDataService.2017.37

    DO - 10.1109/BigDataService.2017.37

    M3 - Conference contribution

    AN - SCOPUS:85022226041

    SP - 265

    EP - 270

    BT - Proceedings - 3rd IEEE International Conference on Big Data Computing Service and Applications, BigDataService 2017

    PB - Institute of Electrical and Electronics Engineers Inc.

    ER -