Next Article in Journal
A Quantitative Structure-Property Relationship Model Based on Chaos-Enhanced Accelerated Particle Swarm Optimization Algorithm and Back Propagation Artificial Neural Network
Previous Article in Journal
Evaluating the Effects of Steel Fibers on Mechanical Properties of Ultra-High Performance Concrete Using Artificial Neural Networks
Article Menu
Issue 7 (July) cover image

Export Article

Open AccessArticle
Appl. Sci. 2018, 8(7), 1119; https://doi.org/10.3390/app8071119

Blowfish Hybridized Weighted Attribute-Based Encryption for Secure and Efficient Data Collaboration in Cloud Computing

1
Department of Electrical and Instrumentation Engineering, Thapar Institute of Engineering and Technology, Patiala, Punjab-147004, India
2
Optical Devices and Systems, CSIR-Central Scientific Instruments Organization, Sector 30-C, Chandigarh-160030, India
*
Author to whom correspondence should be addressed.
Received: 16 April 2018 / Revised: 30 June 2018 / Accepted: 30 June 2018 / Published: 11 July 2018
(This article belongs to the Section Computer Science and Electrical Engineering)
Full-Text   |   PDF [1764 KB, uploaded 11 July 2018]   |  

Abstract

Cloud computing plays a major role in sharing data and resources to other devices through data outsourcing. During sharing resources, it is a challenging task to provide access control and secure write operations. The main issue is to provide secure read and write operations collaboratively and to reduce computational overload by effective key management. In this paper, a secure and an efficient data collaboration scheme blowfish hybridized weighted attribute-based Encryption (BH-WABE ) for secure data writing and proficient access control has been proposed. Here, weight is assigned to each attribute based on its importance and data are encrypted using access control policies. The cloud service provider stores the outsourced data and an attribute authority revokes or updates the attributes by assigning different attributes based on the weight. The receiver can access the data file corresponding to its weight in order to reduce the computational overload. The proposed BH-WABE provides collusion resistance, multiauthority security and fine-grained access control in terms of security, reliability, and efficiency. The performance is compared with the conventional hybrid attribute-based encryption (HABE) scheme in terms of data confidentiality, flexible access control, data collaboration, full delegation, partial decryption, verification, and partial signing. View Full-Text
Keywords: cloud computing; secure write operation; data encryption; key management scheme; fine grained access control; multiauthority security; data collaboration; ABE; HIBE; HABE cloud computing; secure write operation; data encryption; key management scheme; fine grained access control; multiauthority security; data collaboration; ABE; HIBE; HABE
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Ghosh, S.; Karar, V. Blowfish Hybridized Weighted Attribute-Based Encryption for Secure and Efficient Data Collaboration in Cloud Computing. Appl. Sci. 2018, 8, 1119.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Appl. Sci. EISSN 2076-3417 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top