An Analytical approach for optimal secured data storage on cloud server for online education platform

IF 1.8 4区地球科学 Q3 GEOSCIENCES, MULTIDISCIPLINARY

Geoscientific Instrumentation Methods and Data Systems Pub Date : 2022-08-22 DOI:10.5194/gi-2022-15

R. Soundhara Raja Pandian, Christopher Columbus

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引用次数: 0

Abstract

Abstract. Cloud computing is becoming increasingly popular in the IT business because of its higher performance, widespread access, cheap cost, and other benefits. It is also a pay-as-you-go approach; hence, anyone can access cloud data from anywhere, and it is employed in education platforms for online classes due to its ease of use. However, many educational institutions hesitate to use the cloud educational platform due to security and privacy issues. Hence in this study, the performance analysis of various cryptographic algorithms such as Elliptic Curve Cryptography (ECC), Advanced encryption standard (AES), Two Fish, Blowfish, Data Encryption Standard (DES), Triple Data Encryption Standard (TDES) and role-based access control (RBAC) was analyzed and compared with each other in a view to ensuring the protection of cloud data storage used for educational purpose in the NPTEL database. Encryption time, decryption time, and retrieval time with different data sizes were used as performance evaluation factors to figure out the best End-To-End Encryption security in a network system. Moreover, an ElGamal SBO with Delta Competitive NN Cryptography has been proposed in which ElGamal Stag beetle optimization performs ElGamal encryption with the generation of an optimized key with low execution time, thereby allowing only authorized users to access the educational data in the cloud and the data transmission has been secured using Delta Competitive NN that minimizes vulnerable attacks while controlling the decryption activity. Results showed that the proposed ElGamal SBO with Delta Competitive NN Cryptography performs better than all other techniques in terms of retrieval time, encryption time, communication cost, computational overhead and decryption time and hence when applied in a security scenario, it can improve the encryption effectiveness.

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在线教育平台云服务器数据安全存储优化分析方法

摘要。云计算在IT业务中变得越来越流行，因为它具有更高的性能、广泛的访问、便宜的成本和其他好处。这也是一种现收现付的方式;因此，任何人都可以从任何地方访问云数据，并且由于其易于使用而被用于在线课程的教育平台。然而，由于安全和隐私问题，许多教育机构对使用云教育平台犹豫不决。因此，本研究对椭圆曲线加密(ECC)、高级加密标准(AES)、双鱼、河豚、数据加密标准(DES)、三重数据加密标准(TDES)和基于角色的访问控制(RBAC)等各种加密算法的性能进行了分析和比较，以确保对NPTEL数据库中用于教育目的的云数据存储的保护。将不同数据大小下的加密时间、解密时间和检索时间作为性能评价因素，计算网络系统中最佳的端到端加密安全性。此外，还提出了一种具有Delta竞争神经网络加密的ElGamal SBO，其中ElGamal stagbeetle优化通过生成优化的密钥来执行ElGamal加密，并且执行时间短，从而只允许授权用户访问云中的教育数据，并且使用Delta竞争神经网络来保护数据传输，从而在控制解密活动的同时最大限度地减少了易受攻击。结果表明，基于Delta竞争神经网络的ElGamal SBO在检索时间、加密时间、通信成本、计算开销和解密时间等方面都优于其他加密技术，因此，当应用于安全场景时，可以提高加密效果。

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

Geoscientific Instrumentation Methods and Data Systems GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES

CiteScore

3.70

自引率

0.00%

发文量

审稿时长

37 weeks

期刊介绍： Geoscientific Instrumentation, Methods and Data Systems (GI) is an open-access interdisciplinary electronic journal for swift publication of original articles and short communications in the area of geoscientific instruments. It covers three main areas: (i) atmospheric and geospace sciences, (ii) earth science, and (iii) ocean science. A unique feature of the journal is the emphasis on synergy between science and technology that facilitates advances in GI. These advances include but are not limited to the following: concepts, design, and description of instrumentation and data systems; retrieval techniques of scientific products from measurements; calibration and data quality assessment; uncertainty in measurements; newly developed and planned research platforms and community instrumentation capabilities; major national and international field campaigns and observational research programs; new observational strategies to address societal needs in areas such as monitoring climate change and preventing natural disasters; networking of instruments for enhancing high temporal and spatial resolution of observations. GI has an innovative two-stage publication process involving the scientific discussion forum Geoscientific Instrumentation, Methods and Data Systems Discussions (GID), which has been designed to do the following: foster scientific discussion; maximize the effectiveness and transparency of scientific quality assurance; enable rapid publication; make scientific publications freely accessible.