Indexed In Scopus
  Scopus ID: 21100926589

A Cost-effective Data Compression-based Unified Access Control for Encrypted Cloud Storage

Harsh Agarwal, Natta Vignasai, Soorarapu Pavan Kartheek Chary, Baduguna Swapna and Mohammad Manzoor

Abstract

Cloud computing is the trending technology, where multiple users are sharing the data files over the cloud continuously. However, security in cloud environment is the biggest task, where malicious attackers are stealing the data by introducing the attacks. So, the various conventional security protocols were introduced in the cloud environment, which are failed provide the maximum-security standards. Therefore, this work is focused on implementation of Fully Outsourced Protocol (FOP) for providing the higher security standards. Initially, data owners generated the message data, which might be audio, video, data, or textual file. But most of the cases, data contain higher (huge) size, which needs to be optimized. So, data compression applied on the original data, which reduces the memory size of original data. Then, compressed data is applied to the FOP, where Ciphertext-Policy Attribute-based Encryption (CP-ABE) encryption is performed to secure the data. Specifically, Economic Denial of Sustainability (EDOS) attacks occurred in cloud environment, which steals the data from cloud service providers (CSP), data owners, and data users. So, CSP controls the entire environment by introducing FOP with CP-ABE protocol. Here, the attribute authorities are responsible for generating the public key, security key for data owners and data users. Finally, data users receive the secured data. The simulations showed that, the FOP-CP-ABE resulted higher security standards good compression ratios.

Published on: December 08, 2023
doi: 10.17756/nwj.2023-s4-086
Citation: Agarwal H, Vignasai N, Chary SPV, Swapna B, Manzoor M. 2023. A Cost-effective Data Compression-based Unified Access Control for Encrypted Cloud Storage. NanoWorld J 9(S4): S509-S513.

Download Citation (XML)

34 Downloads
Bitnami