Paper Title

Comparative Analysis of RSA and Elliptic Curve Cryptography in Modern Security Architectures

Authors

Shubh Soni , Shubham Gandhi , Roshani Patel

Keywords

Abstract

The proliferation of networked digital systems demands robust asymmetric cryptographic primitives capable of guaranteeing confidentiality, integrity, and non-repudiation against increasingly capable adversaries. This paper presents an original, in-depth comparative study of two dominant public-key paradigms—the Rivest-Shamir-Adleman (RSA) algorithm and Elliptic Curve Cryptography (ECC)—across seven critical dimensions: mathematical foundations, key-size efficiency, computational throughput, energy consumption, protocol integration, vulnerability profiles, and post-quantum readiness. Through original analysis grounded in published benchmarks, NIST standards, and protocol specifications, we demonstrate that ECC consistently outperforms RSA in every metric except signature verification speed, with key-size advantages ranging from 6:1 at the 80-bit security level to 30:1 at the 256-bit level. The adoption of TLS 1.3 formalized this transition by mandating ephemeral ECC-based key exchange and eliminating static RSA transport. Crucially, both algorithms face existential quantum vulnerability via Shor’s algorithm, necessitating an industry-wide migration toward NIST-standardized post-quantum primitives by 2030. This paper concludes with a decision framework and migration roadmap to guide practitioners in selecting and transitioning cryptographic infrastructure.

How To Cite

"Comparative Analysis of RSA and Elliptic Curve Cryptography in Modern Security Architectures", JETNR - JOURNAL OF EMERGING TRENDS AND NOVEL RESEARCH (www.JETNR.org), ISSN:2984-9276, Vol.4, Issue 4, page no.d36-d41, April-2026, Available :https://rjpn.org/JETNR/papers/JETNR2604400.pdf

Issue

Volume 4 Issue 4, April-2026

Pages : d36-d41

Other Publication Details

Paper Reg. ID: JETNR_234151

Published Paper Id: JETNR2604400

Downloads: 00038

Research Area: Science and Technology

Country: Ahmedabad , Gujarat, India

Published Paper PDF: https://rjpn.org/JETNR/papers/JETNR2604400

Published Paper URL: https://rjpn.org/JETNR/viewpaperforall?paper=JETNR2604400

About Publisher

ISSN: 2984-9276 | IMPACT FACTOR: 9.87 Calculated By Google Scholar | ESTD YEAR: 2023

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.87 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: RJPN (IJPublication) Janvi Wave

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