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POSTER: A keyless efficient algorithm for data protection by means of fragmentation

  • Université Paris-Saclay

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

9 Citations (Scopus)

Abstract

Although symmetric ciphers may provide strong computational security, a key leakage makes the encrypted data vulnerable. In a distributed storage environment, reinforcement of data protection consists of dispersing data over multiple servers in a way that no information can be obtained from data fragments until a defined threshold of them has been collected. A secure fragmentation is usually enabled by secret sharing, information dispersal algorithms or data shredding. However, these solutions suffer from various limitations, like additional storage requirement or performance burden. This poster presents a novel flexible keyless fragmentation scheme, balancing memory use and performance with security. It could be applied in many different contexts, such as dispersal of outsourced data over one or multiple clouds or in resource-restrained environments like sensor networks. The scheme has been implemented in Java and Matlab. Preliminary analysis shows good performance and data protection.

Original languageEnglish
Title of host publicationCCS 2016 - Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security
PublisherAssociation for Computing Machinery
Pages1745-1747
Number of pages3
ISBN (Electronic)9781450341394
DOIs
Publication statusPublished - 24 Oct 2016
Externally publishedYes
Event23rd ACM Conference on Computer and Communications Security, CCS 2016 - Vienna, Austria
Duration: 24 Oct 201628 Oct 2016

Publication series

NameProceedings of the ACM Conference on Computer and Communications Security
Volume24-28-October-2016
ISSN (Print)1543-7221

Conference

Conference23rd ACM Conference on Computer and Communications Security, CCS 2016
Country/TerritoryAustria
CityVienna
Period24/10/1628/10/16

Keywords

  • Cloud storage
  • Data protection
  • Distributed systems
  • Fragmentation
  • Security analysis

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