An eavesdropping prevention problem when repairing network coded data from remote distributed storage

Yu Jia Chen, Chen Hung Liao, Li-Chun Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

We consider the cloud storage systems with data stored in two geographically different datacenters for remote backup. In such system, inter-data center communication is established for data repair when storage nodes fail in the data center. Since the repairing data are transmitted over the Internet, the communication between the datacenters can become susceptible to eavesdropping. This problemis especially crucial in network coding-based distributed storage systems because more repair bandwidth and repair links are required, compared to conventional replication. In this paper, we show that remote repair bandwidth can be reduced by increasing storage per node and derive the tradeoff curves between remote repair bandwidth and storage. Moreover, we show that there exist another tradeoff for storage cost and reliability for different amount of remote and local storage nodes.

Original languageEnglish
Title of host publication2013 IEEE Global Communications Conference, GLOBECOM 2013
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2711-2716
Number of pages6
ISBN (Print)9781479913534
DOIs
StatePublished - 1 Jan 2013
Event2013 IEEE Global Communications Conference, GLOBECOM 2013 - Atlanta, GA, United States
Duration: 9 Dec 201313 Dec 2013

Publication series

NameGLOBECOM - IEEE Global Telecommunications Conference

Conference

Conference2013 IEEE Global Communications Conference, GLOBECOM 2013
CountryUnited States
CityAtlanta, GA
Period9/12/1313/12/13

Keywords

  • cloud storage
  • network coding

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