Mixed fragmentation technique for securing structured data using multi-cloud environment (MFT-SSD)

Large data storage security is a topic of great interest to researchers, particularly in the age of big data where preserving data from theft, unauthorized access, and storage failure has become a crucial concern. To safeguard such data, encryption/decryption approaches have been employed, which are...

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Bibliographic Details
Published inAd hoc networks Vol. 164; p. 103625
Main Authors Nabawy, Rabab Mohamed, Hassanin, Mohammed, Ibrahim, Mohamed Hassan, Kaseb, Mostafa Rabea
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.11.2024
Subjects
Big data
Cloud computing
Encryption
Fragmentation
Security
Cloud computing
Big data
Encryption
Security
Fragmentation
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Summary:Large data storage security is a topic of great interest to researchers, particularly in the age of big data where preserving data from theft, unauthorized access, and storage failure has become a crucial concern. To safeguard such data, encryption/decryption approaches have been employed, which are time-consuming and inefficient. The aim of this study is to develop a method, namely Mixed Fragmentation Technique for Securing Structured Data using Multi-Cloud Environment (MFT-SSD), for protecting large-scale data stored in a multi-cloud environment. This prevents insider attacks by adopting a mixed fragmentation approach to split the data into three files. For example, healthcare data is will be distributed among many clouds, each of which stores a partially unrecognized fraction of data without the need for an encryption or decryption layer. Comparing MFT-SSD to various encryption/decryption algorithms, our results show significant improvement; hence, the total performance of big data security is also improved.
ISSN:1570-8705
DOI:10.1016/j.adhoc.2024.103625