ESKEA: Enhanced Symmetric Key Encryption Algorithm Based Secure Data Storage in Cloud Networks with Data Deduplication

Data deduplication approach is utilized in cloud storage to decrease the bandwidth of communication and storage space by eliminating the data copies from the cloud service provider (CSP). However, one of the main problems of cloud storage is data deduplication with secure data storage. To overcome t...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Wireless personal communications Jg. 117; H. 4; S. 3309 - 3325
Hauptverfasser: Elkana Ebinazer, Silambarasan, Savarimuthu, Nickolas, Mary Saira Bhanu, S.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Springer US 01.04.2021
Springer Nature B.V
Schlagworte:
ISSN:0929-6212, 1572-834X
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Data deduplication approach is utilized in cloud storage to decrease the bandwidth of communication and storage space by eliminating the data copies from the cloud service provider (CSP). However, one of the main problems of cloud storage is data deduplication with secure data storage. To overcome this issue, the researchers presented symmetric data storage methods based on an encryption algorithm. Nonetheless, the Enhanced Symmetric Key Encryption Algorithm (ESKEA) based on secure data storage with data deduplication is proposed in this research to further improve data confidentiality. In this approach, the block-level deduplication of data is performed using the Convergent Encryption (CE) algorithm to check the CSP duplicate copies of data. Then, ESKEA algorithm is presented for secure storage of data. In ESKEA, Spider Monkey Optimization Algorithm (SMOA) optimally selects the secret key. The results of this work showed that the execution of the proposed ESKEA is more effective than that of the SKEA in terms of upload time and download time.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0929-6212
1572-834X
DOI:10.1007/s11277-020-07989-6