Blowfish Hybridized Weighted Attribute-Based Encryption for Secure and Efficient Data Collaboration in Cloud Computing
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 r...
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Format: | Article |
Language: | English |
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MDPI AG
2018-07-01
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Series: | Applied Sciences |
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Online Access: | http://www.mdpi.com/2076-3417/8/7/1119 |
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author | Smarajit Ghosh Vinod Karar |
author_facet | Smarajit Ghosh Vinod Karar |
author_sort | Smarajit Ghosh |
collection | DOAJ |
description | 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. |
first_indexed | 2024-04-12T12:20:12Z |
format | Article |
id | doaj.art-8fa8afb815bb44ea89b95f32ee5992fa |
institution | Directory Open Access Journal |
issn | 2076-3417 |
language | English |
last_indexed | 2024-04-12T12:20:12Z |
publishDate | 2018-07-01 |
publisher | MDPI AG |
record_format | Article |
series | Applied Sciences |
spelling | doaj.art-8fa8afb815bb44ea89b95f32ee5992fa2022-12-22T03:33:19ZengMDPI AGApplied Sciences2076-34172018-07-0187111910.3390/app8071119app8071119Blowfish Hybridized Weighted Attribute-Based Encryption for Secure and Efficient Data Collaboration in Cloud ComputingSmarajit Ghosh0Vinod Karar1Department of Electrical and Instrumentation Engineering, Thapar Institute of Engineering and Technology, Patiala, Punjab-147004, IndiaOptical Devices and Systems, CSIR-Central Scientific Instruments Organization, Sector 30-C, Chandigarh-160030, IndiaCloud 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.http://www.mdpi.com/2076-3417/8/7/1119cloud computingsecure write operationdata encryptionkey management schemefine grained access controlmultiauthority securitydata collaborationABEHIBEHABE |
spellingShingle | Smarajit Ghosh Vinod Karar Blowfish Hybridized Weighted Attribute-Based Encryption for Secure and Efficient Data Collaboration in Cloud Computing Applied Sciences cloud computing secure write operation data encryption key management scheme fine grained access control multiauthority security data collaboration ABE HIBE HABE |
title | Blowfish Hybridized Weighted Attribute-Based Encryption for Secure and Efficient Data Collaboration in Cloud Computing |
title_full | Blowfish Hybridized Weighted Attribute-Based Encryption for Secure and Efficient Data Collaboration in Cloud Computing |
title_fullStr | Blowfish Hybridized Weighted Attribute-Based Encryption for Secure and Efficient Data Collaboration in Cloud Computing |
title_full_unstemmed | Blowfish Hybridized Weighted Attribute-Based Encryption for Secure and Efficient Data Collaboration in Cloud Computing |
title_short | Blowfish Hybridized Weighted Attribute-Based Encryption for Secure and Efficient Data Collaboration in Cloud Computing |
title_sort | blowfish hybridized weighted attribute based encryption for secure and efficient data collaboration in cloud computing |
topic | cloud computing secure write operation data encryption key management scheme fine grained access control multiauthority security data collaboration ABE HIBE HABE |
url | http://www.mdpi.com/2076-3417/8/7/1119 |
work_keys_str_mv | AT smarajitghosh blowfishhybridizedweightedattributebasedencryptionforsecureandefficientdatacollaborationincloudcomputing AT vinodkarar blowfishhybridizedweightedattributebasedencryptionforsecureandefficientdatacollaborationincloudcomputing |