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Protecting data confidentiality combining data fragmentation, encryption, and dispersal over a distributed environment.

Abstract : This thesis dissertation revisits state-of-the-art fragmentation techniques making them faster and cost-efficient. The main focus is put on increasing data confidentiality without deteriorating the processing performance. The ultimate goal is to provide a user with a set of fast fragmentation methods that could be directly applied inside an industrial context to reinforce the confidentiality of the stored data and/or accelerate the fragmentation processing. First, a rich survey on fragmentation as a way of preserving data confidentiality is presented. Second, the family of all-or-nothing transforms is extended with three new proposals. They all aim at protecting encrypted and fragmented data against the exposure of the encryption key but are designed to be employed in three different contexts: for data fragmentation in a multi-cloud environment, a distributed storage system, and an environment composed of one storage provider and one private device. Third, a way of accelerating fragmentation is presented that achieves better performance than data encryption using the most common symmetric-key encryption algorithm. Fourth, a lightweight fragmentation scheme based on data encoding, permuting, and dispersing is introduced. It totally gets rid of data encryption allowing the fragmentation to be performed even faster; up to twice as fast as data encryption. Finally, fragmentation inside sensor networks is revisited, particularly in the Unattended Wireless Sensor Networks. The main focus in this case is put not solely on the fragmentation performance, but also on the reduction of storage and transmission costs by using data aggregation.
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Contributor : Katarzyna Kapusta <>
Submitted on : Tuesday, April 2, 2019 - 1:48:27 PM
Last modification on : Friday, July 31, 2020 - 10:44:11 AM
Long-term archiving on: : Wednesday, July 3, 2019 - 12:43:17 PM


  • HAL Id : tel-02087062, version 1



Katarzyna Kapusta. Protecting data confidentiality combining data fragmentation, encryption, and dispersal over a distributed environment.. Computer Science [cs]. Télécom ParisTech, 2018. English. ⟨tel-02087062⟩



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