A Fast and Scalable Fragmentation Algorithm for Data Protection Using Multi-storage over Independent Locations

Katarzyna Kapusta, Gerard Memmi

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

Abstract

Data fragmentation and dispersal over several independent locations enhances protection level of outsourced data. In this paper, we introduce a Fast and Scalable Fragmentation Algorithm (FSFA) that is particularly well adapted to be used in a multi-cloud environment. It transforms data into interdependent fragments that all have to be gathered in order to reconstruct the initial information. A performance comparison with published related works (including data encryption and dispersal) demonstrates it can be more than twice faster than the fastest of the relevant fragmentation techniques, while producing reasonable storage overhead.

Original languageEnglish
Title of host publicationSecurity and Trust Management - 14th International Workshop, STM 2018, Proceedings
EditorsCristina Alcaraz, Sokratis K. Katsikas, Sokratis K. Katsikas
PublisherSpringer Verlag
Pages54-69
Number of pages16
ISBN (Print)9783030011406
DOIs
Publication statusPublished - 1 Jan 2018
Externally publishedYes
Event14th International Workshop on Security and Trust Management, STM 2018 - Barcelona, Spain
Duration: 6 Sept 20187 Sept 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11091 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference14th International Workshop on Security and Trust Management, STM 2018
Country/TerritorySpain
CityBarcelona
Period6/09/187/09/18

Keywords

  • Cloud storage
  • Data protection
  • Distributed systems
  • Fragmentation
  • Information dispersal
  • Multi-cloud
  • Multi-storage

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