Volume 9 Number 4 (Apr. 2014)
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JSW 2014 Vol.9(4): 958-963 ISSN: 1796-217X
doi: 10.4304/jsw.9.4.958-963

Provable Dynamic Data Possession by Datalog Rules

Jing Lu, Ting Dou

School of Optical Electrical and Computing Engineering University of Shanghai for Science and Technology, Shanghai, China, 200093

Abstract—In recent years, the concept of data outsourcing has become quite popular. With the appearance of Cloud Computing, there is a new paradigm: Cloud Storage. Cloud Storage means that the data owner moves its data to a Cloud Storage Server that is supposed to faithfully store the data and make it available to the data owner and perhaps the data requestors. This paper discusses how to guarantee the Provable Data Possession when data dynamics are supported. Different integrity granularities are supported including Size Integrity, Block-Number Integrity and the Block-neighborhood integrity which is realized by rules defined in Datalog through neighborhood relationship between data blocks. All integrity checking runs as a service in a Third Party Auditor. The whole architecture is implemented above Hadoop, which gives the first experience of a trustable cloud data service platform.

Index Terms—Cloud Computing; Provable Data Possession; Third Party Auditor; Data Dynamics; Datalog.


Cite: Jing Lu, Ting Dou, "Provable Dynamic Data Possession by Datalog Rules," Journal of Software vol. 9, no. 4, pp. 958-963, 2014.

General Information

  • ISSN: 1796-217X (Online)
  • Frequency:  Quarterly
  • Editor-in-Chief: Prof. Antanas Verikas
  • Executive Editor: Ms. Yoyo Y. Zhou
  • Abstracting/ Indexing: DBLP, EBSCO, CNKIGoogle Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
  • E-mail: jsweditorialoffice@gmail.com
  • APC: 500USD
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