Enhancing Security of Cloud Data Using Cryptographic Algorithm Based on PFECCRS

Authors

  • Amruta Gadad School of Computer Science and Applications, REVA University, Bangalore, India
  • Devi A School of Computer Science and Applications, REVA University, Bangalore, India

DOI:

https://doi.org/10.12694/scpe.v26i3.4108

Keywords:

Prime Factorization, Encoding, Compression, Run Length Encoding, Encryption, Dynamic RSA

Abstract

A web-based cloud computing application is basically used to save data with a view of accessing it from anywhere at any time. After analyzing the literature review, it is known that the work for cloud data security is either maintaining the security level or increasing the transmission speed of plain text of cloud, but failed to prove both security level as well as data transmission speed of cloud from one end to another end. Hence, to strengthen the data security of cloud and also to improve the data transmission speed, an integration of encoding, compression and cryptographic algorithms is important. An encoding technique of Prime Factorization (PF) for changing the original plain text into an intermediate plain text as encoded plain text followed by compression technique of Run Length Encoding (RLE) to reduce the file size so that the transmission speed of encoded message will be increased as well as the compression ratio will be higher and finally the Dynamic RSA algorithm is pertained to intensify the security by converting the compressed message into cipher text wherein Integrated Compressed Cryptosystem (ICC) and hence Prime Factorization Encoded Compressed Cryptosystems (PFECCRS) is proposed. The comparative analysis proved that the proposed methodology has increased the security level to 99.25%.

Author Biographies

  • Amruta Gadad, School of Computer Science and Applications, REVA University, Bangalore, India

    Research Scholar

  • Devi A, School of Computer Science and Applications, REVA University, Bangalore, India

    Associate Professor, School of Computer Science and Applications, REVA University, Bangalore

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Published

2025-04-01

Issue

Section

Special Issue - Unleashing the power of Edge AI for Scalable Image and Video Processing