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

IF 4.4 3区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Ad Hoc Networks Pub Date : 2024-08-22 DOI:10.1016/j.adhoc.2024.103625

Rabab Mohamed Nabawy , Mohammed Hassanin , Mohamed Hassan Ibrahim , Mostafa Rabea Kaseb

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引用次数: 0

Abstract

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.

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利用多云环境确保结构化数据安全的混合分片技术（MFT-SSD）

大数据存储安全是研究人员非常感兴趣的一个话题，尤其是在大数据时代，防止数据被盗、未经授权的访问和存储故障已成为一个至关重要的问题。为了保护这些数据，人们采用了既耗时又低效的加密/解密方法。本研究旨在开发一种方法，即利用多云环境保护结构化数据安全的混合碎片技术（MFT-SSD），用于保护存储在多云环境中的大规模数据。该技术通过采用混合分片方法将数据分成三个文件，从而防止内部攻击。例如，医疗保健数据将分布在许多云中，每个云都存储了部分未识别的数据，无需加密或解密层。将 MFT-SSD 与各种加密/解密算法进行比较，我们的结果表明，MFT-SSD 有了显著的改进；因此，大数据安全的总体性能也得到了提高。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Ad Hoc Networks 工程技术-电信学

CiteScore

10.20

自引率

4.20%

发文量

131

审稿时长

4.8 months

期刊介绍： The Ad Hoc Networks is an international and archival journal providing a publication vehicle for complete coverage of all topics of interest to those involved in ad hoc and sensor networking areas. The Ad Hoc Networks considers original, high quality and unpublished contributions addressing all aspects of ad hoc and sensor networks. Specific areas of interest include, but are not limited to: Mobile and Wireless Ad Hoc Networks Sensor Networks Wireless Local and Personal Area Networks Home Networks Ad Hoc Networks of Autonomous Intelligent Systems Novel Architectures for Ad Hoc and Sensor Networks Self-organizing Network Architectures and Protocols Transport Layer Protocols Routing protocols (unicast, multicast, geocast, etc.) Media Access Control Techniques Error Control Schemes Power-Aware, Low-Power and Energy-Efficient Designs Synchronization and Scheduling Issues Mobility Management Mobility-Tolerant Communication Protocols Location Tracking and Location-based Services Resource and Information Management Security and Fault-Tolerance Issues Hardware and Software Platforms, Systems, and Testbeds Experimental and Prototype Results Quality-of-Service Issues Cross-Layer Interactions Scalability Issues Performance Analysis and Simulation of Protocols.