• DocumentCode
    720549
  • Title

    Full Integrity and Freshness for Outsourced Storage

  • Author

    Hao Jin ; Hong Jiang ; Ke Zhou ; Ronglei Wei ; Dongliang Lei ; Ping Huang

  • Author_Institution
    Sch. of Comput., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • fYear
    2015
  • fDate
    4-7 May 2015
  • Firstpage
    362
  • Lastpage
    371
  • Abstract
    Data outsourcing relieves cloud users of the heavy burden of infrastructure management and maintenance. However, the handover of data control to untrusted cloud servers significantly complicates the security issues. Conventional signature verification widely adopted in cryptographic storage system only guarantees the integrity of retrieved data, for those rarely or never accessed data, it does not work. This paper integrates proof of storage technique with data dynamics support into cryptographic storage design to provide full integrity for outsourced data. Besides, we provide instantaneously freshness check for retrieved data to defend against potential replay attacks. We achieve these goals by designing flexible block structures and combining broadcast encryption, key regression, Merkle hash tree, proof of storage and fine-grained access control policies together to provide a secure storage service for outsourced data. Experimental evaluation of our prototype shows that the cryptographic cost and throughput is reasonable and acceptable.
  • Keywords
    authorisation; cloud computing; cryptography; handwriting recognition; outsourcing; regression analysis; storage management; Merkle hash tree; broadcast encryption; cloud users; cryptographic storage system; data control; data outsourcing; fine-grained access control policies; flexible block structures; infrastructure maintenance; infrastructure management; key regression; outsourced storage; proof of storage; security issues; signature verification; storage technique; untrusted cloud servers; Authentication; Cloud computing; Encryption; Secure storage; Servers; cloud; freshness; full integrity; proof of storage; secure storage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cluster, Cloud and Grid Computing (CCGrid), 2015 15th IEEE/ACM International Symposium on
  • Conference_Location
    Shenzhen
  • Type

    conf

  • DOI
    10.1109/CCGrid.2015.90
  • Filename
    7152502