Blockchain and Cryptography Framework of E-Apps with Big Data

Authors

  • Wid Alaa Jebbar Department of Computer Sciences, Education College for Pure Sciences, University of Thi-Qar, Nasiriyah 64001, Iraq
  • Rasha Hallem Razzaq Department of Computer Sciences, Education College for Pure Sciences, University of Thi-Qar, Nasiriyah 64001, Iraq
  • Duaa Hammoud Tahayur Department of Computer Sciences, Education College for Pure Sciences, University of Thi-Qar, Nasiriyah 64001, Iraq
  • Mishall Al-Zubaidie Department of Computer Sciences, Education College for Pure Sciences, University of Thi-Qar, Nasiriyah 64001, Iraq

DOI:

https://doi.org/10.32792/jeps.v14i3.545

Keywords:

Blockchain, e-apps, hash function, repository security, SPONGENT

Abstract

With the tremendous and rapid evolution taking place in the field of technology and considering the rise in data volume that is dealt with daily, managing this data, whether in terms of security or terms of storage especially if the data is huge, is considered a necessary issue. Therefore, in this research, we established a framework that provides both security and storage/repository management. Where the security issue in the suggested framework is supported by the use of lightweight hash functions and public-key encryption algorithms represented by SPONGENT and elliptic curve cryptography (ECC). Additionally, the fast random number generator is also used to support the security algorithms included in the framework, while managing the repository storage is controlled by the use of a hybrid Blockchain to manage storage for this type of big data. The process of storing this data in databases or any of the traditional centralized methods exposes the data to loss or penetration. After analyzing the proposed framework, it successfully addressed the prevention of malicious within the field of proposed research attacks. Moreover, the performance analysis of the framework proposed was quite effective with the lightweight SPONGENT and ECC results, while the creation of blocks in the storage phase was not more than 0.18 ns. Thus, we obtained an effective framework in terms of security, performance, and terms of data repository management and control.

 

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Published

2024-09-01