ARCHIVES

Original Article

Secure Cloud Data De Duplication with Efficient Re Encryption

N Vaishnavi1 M Tarun2 S Samhitha3
1 2 3 Computer Science and Engineering, Geethanjali College of Engineering and Technology (GCET), Telangana, India.

Published Online: March-April 2025

Pages: 82-85

Abstract

Data deduplication technique has been widely adopted by commercial cloud storage providers, which is both important and necessary in coping with the explosive growth of data. To further protect the security of users’ sensitive data in the outsourced storage mode, many secure data deduplication schemes have been designed and applied in various scenarios. Among these schemes, secure and efficient re-encryption for encrypted data deduplication attracted the attention of many scholars, and many solutions have been designed to support dynamic ownership management. In this paper, we focus on the re-encryption deduplication storage system and show that the recently designed lightweight rekeying-aware encrypted deduplication scheme (REED) is vulnerable to an attack which we call it stub-reserved attack. Furthermore, we propose a secure data deduplication scheme with efficient re- encryption based on the convergent all-or-nothing transform (CAONT) and randomly sampled bits from the Bloom filter. Due to the intrinsic property of one-way hash function, our scheme can resist the stub-reserved attack and guarantee the data privacy of data owners’ sensitive data. Moreover, instead of re-encrypting the entire package, data owners are only required to re- encrypt a small part of it through the CAONT, thereby effectively reducing the computation overhead of the system. Finally, security analysis and experimental results show that our scheme is secure and efficient in re- encryption.

Related Articles

2025

Exploring Mathematical Concepts in Ramcharit Manas: A Unique Perspective on Navadha Bhakti

2025

ARMOIRE An Augmented Reality Fashion Try On

2025

Sign Vision AI powered sign language Recognition

2025

Drowzy Alert AI Powered Driver Fatigue Detection

2025

Beauty Care Shopping using 3D Modelling

2025

Tryfitai Realtime Outfit Visualisation

Share Article

X
LinkedIn
Facebook
WhatsApp

Or copy link

https://ijrtmr.com/archives/10.59256/ijrtmr.20250502013

*Instagram doesn't support direct link sharing from web. Copy the link and share it in your Instagram story or post.