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An adaptive and efficient fully homomorphic encryption technique

  • Mohammed Amine Yagoub
  • , Abdelkader Laouid
  • , Okba Kazar
  • , Ahcène Bounceur
  • , Reinhardt Euler
  • , Muath AlShaikh

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

9 Scopus citations

Abstract

The huge amount of generated data offers special advantages mainly in dynamic and scalable systems. In fact, the data generator entities need to share the generated data with each other which leads to the use of cloud services. A cloud server is considered as an untrusted entity that offers many advantages such as large storing space, computation speed. . . etc. Hence, there is a need to cope with how to protect the stored data in the cloud server by proposing adaptive solutions. The main objective is how to provide an encryption scheme allowing the user to maintains some functions such as addition, multiplication and to preserve the order on the encrypted cloud data. Many algorithms and techniques are designed to manipulate the stored encrypted cloud data. This paper presents an adaptive and efficient fully homomorphic encryption technique to protect the user's data stored in the cloud, where the cloud server executes simple operations.

Original languageEnglish
Title of host publicationProceedings of the 2nd International Conference on Future Networks and Distributed Systems, ICFNDS 2018
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450364287
DOIs
StatePublished - 26 Jun 2018
Externally publishedYes

Publication series

NameACM International Conference Proceeding Series

Bibliographical note

Publisher Copyright:
© 2018 ACM.

Keywords

  • Fully Homomorphic Encryption
  • Security

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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