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Soft Computing
Published in: Soft Computing 8/2019

28-01-2019 | Focus

Attribute-based hierarchical file encryption for efficient retrieval of files by DV index tree from cloud using crossover genetic algorithm

Authors: R. Naresh, M. Sayeekumar, G. M. Karthick, P. Supraja

Published in: Soft Computing | Issue 8/2019

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Abstract

File storing as well as retrieving is the most important security-related research area in cloud. Based on our literature survey, many researchers have developed several searchable encryption protocols. Among the several protocols, only minimum number of protocols satisfies the efficient file retrieval from the cloud. Previous research papers support the file encryption based on the keyword, secret key and random number. But in this research paper, we have proposed attribute-based encryption based on the hierarchical manner. The collections of files are encrypted under one common access layer. Compared to earlier researches, our attribute-based hierarchical file encryption scheme supports very less computation as well as storage complexity. We have constructed a new index model named data vector (DV) tree using crossover genetic algorithm which is a component of the soft computing. The DV tree is built based on the term frequency, inverse document frequency and attributes of the file. We have also developed a new key generation, encryption and decryption function for efficient retrieval of files towards the data users.
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Metadata
Title
Attribute-based hierarchical file encryption for efficient retrieval of files by DV index tree from cloud using crossover genetic algorithm
Authors
R. Naresh
M. Sayeekumar
G. M. Karthick
P. Supraja
Publication date
28-01-2019
Publisher
Springer Berlin Heidelberg
Published in
Soft Computing / Issue 8/2019
Print ISSN: 1432-7643
Electronic ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-019-03790-1

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