Blending Convergent Encryption and Access Control Scheme for Achieving A Secure and Storage Efficient Cloud

Tariqul Islam, Kiho Lim, D. Manivannan

Producción científica: Conference contributionrevisión exhaustiva

2 Citas (Scopus)

Resumen

Conventional encryption schemes are being used over the years for securing outsourced data to cloud. However, this impedes deduplication-the ability to identify and remove duplicate data from storage server. The idea of Convergent Encryption was introduced to overcome this problem which ensures that identical plaintext files will always produce identical ciphertexts and thus enabling deduplication. Nonetheless, this scheme is vulnerable to a side-channel attack called 'confirmation-of-a-file' and its variant 'learn-the-remaining-information' attack which breach user privacy by observing the deduplication operation. To resolve the above two seemingly contrasting issues, we propose a scheme which blends convergent encryption with a traditional access control scheme for simultaneously achieving confidentiality and deduplication. Both theoretical security analysis and experimental results show that our scheme is semantically secure and resilient against attacks. It incurs minor storage and latency overhead while performing file and block level deduplication. Furthermore, it ensures secure and fine-grained access control of outsourced data by efficiently handling key-management process.

Idioma originalEnglish
Título de la publicación alojada2020 IEEE 17th Annual Consumer Communications and Networking Conference, CCNC 2020
Páginas1-6
Número de páginas6
ISBN (versión digital)9781728138930
DOI
EstadoPublished - ene 2020
Evento17th IEEE Annual Consumer Communications and Networking Conference, CCNC 2020 - Las Vegas, United States
Duración: ene 10 2020ene 13 2020

Serie de la publicación

Nombre2020 IEEE 17th Annual Consumer Communications and Networking Conference, CCNC 2020
Volumen2019-January

Conference

Conference17th IEEE Annual Consumer Communications and Networking Conference, CCNC 2020
País/TerritorioUnited States
CiudadLas Vegas
Período1/10/201/13/20

Nota bibliográfica

Publisher Copyright:
© 2020 IEEE.

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture
  • Safety, Risk, Reliability and Quality
  • Media Technology
  • Communication

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