Enhancing cryptographic robustness through error-correcting codes derived from network graphs

Ananthakrishnan, Gayathri; Ghanimi, Hayder M. A.; Pushpa, P.; Rao, T. K. Rama Krishna; Vedaraj, M.; Sengan, Sudhakar; Dadheech, Pankaj

doi:10.47974/JDMSC-2088

Open Access Research Article

Enhancing cryptographic robustness through error-correcting codes derived from network graphs

^*Gayathri AnanthakrishnanCorresponding authorgayathri.a@vit.ac.inSchool of Computer Science Engineering and Information SystemsVellore Institute of TechnologyVellore, Tamil Nadu, 632014, IndiaView full profile → , Hayder M. A. Ghanimihayder.alghanami@uowa.edu.iqAffiliation 1Department of Information TechnologyCollege of ScienceUniversity of Warith Al-AnbiyaaKarbala, 56001, IraqAffiliation 2Department of Computer ScienceCollege of Computer Science and Information TechnologyUniversity of KerbalaKarbala, 56001, IraqView full profile → , P. Pushpappushpacse88@gmail.comDepartment of Cyber SecurityEaswari Engineering CollegeChennai, Tamil Nadu, 600089, IndiaView full profile → , T. K. Rama Krishna Raoramakrishnatk@gmail.comDepartment of Computer Science and EngineeringKoneru Lakshmaiah Education FoundationVaddeswaram, Andhra Pradesh, 522502, IndiaView full profile → , M. Vedarajvedaraj84@gmail.comDepartment of Computer Science and EngineeringRMD Engineering CollegeKavaraipettai, Tamil Nadu, 601206, IndiaView full profile → , Sudhakar Sengansudhasengan@gmail.comDepartment of Computer Science and EngineeringPSN College of Engineering and TechnologyTirunelveli, Tamil Nadu, 627152, IndiaView full profile → , Pankaj Dadheechpankajdadheech777@gmail.comDepartment of Computer Science and EngineeringSwami Keshvanand Institute of Technology, Management & Gramothan (SKIT)Jaipur, Rajasthan, 302017, IndiaView full profile →

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pp. 2155–2167Vol. 27Issue 7October 2024DOI: 10.47974/JDMSC-2088 Crossmark XML

Received:: 06 Mar 2024
Published Online:: 15 Oct 2024
Article type:: Research Article
Language:: EN
Article no.:: JDMSC-2088
Pages:: 2155–2167

Abstract

Secure data transmission is essential for securing sensitive data generated in huge volumes in today’s growing digital era. In today’s growing digital world, secure data transfer is essential for securing private information generated in enormous volumes. Data security strategies, called Cyber Security Systems (CSS), are susceptible to errors and other risks that might damage the data’s integrity. While standard Error-Correcting Codes (ECCs) function well for more standard communication errors, they cannot meet the complex rules of cryptographic functions. In order to boost the CSS size, this article provides a detailed approach that develops ECCs from network graph parameters. The error flexibility, computational speed, and use of bandwidth power of the CSS have been designed to be addressed by the graph-based ECCs. The investigation proposes an approach that analyses network graphs and employs information to develop ECCs, which are then integrated into the existing CSS. Compared with standard models, the one recommended performed more successfully when assessed under a range of error scenarios and cryptanalytic attacks.

Keywords

Mathematical modeling Ordinary differential equations A duopoly economy Market share

Subject Classifications

34A06

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