Vol. 10 No. 2 (2026): Vol 10, Iss 2, Year 2026
Articles

Graph-Based Cryptographic Encoding and Epidemiological Modeling via Even Felicitous Labeling

Narayanan N L
Research Scholar, Department of Mathematics, Sacred Heart College (Autonomous), Tirupattur – 635601, Tamil Nadu, India (Affiliated to Thiruvalluvar University, Serkadu, Vellore – 632115, Tamil Nadu, India). Department of Mathematics, Jerusalem College of Engineering, Chennai– 600100, Tamil Nadu, India.
Gayathri S
Department of Mathematics , Aarupadai Veedu Institute of Technology,Paiyanoor– 603104, Chennai, Tamil Nadu, India.
Jamal Barakath
Department of Mathematics, KCG College of Engineering, Chennai– 600115, Tamil Nadu, India.
Avinash N
Department of Mathematics, Sacred Heart College (Autonomous), Tirupattur– 635601, Tamil Nadu, India.
Nanthitha M M
Research Scholar, Department of Mathematics, Sacred Heart College (Autonomous), Tirupattur Tamil Nadu, India.
Sampoornam M
Research Scholar, Department of Mathematics, Sacred Heart College (Autonomous), Tirupattur Tamil Nadu, India.
Balaji V
Department of Mathematics, Sacred Heart College (Autonomous), Tirupattur– 635601, Tamil Nadu, India.
Published December 31, 2026
Keywords
  • Six-star Graph, Even Felicitous Graph, Encoding
How to Cite
Narayanan N L, Gayathri S, Jamal Barakath, Avinash N, Nanthitha M M, Sampoornam M, & Balaji V. (2026). Graph-Based Cryptographic Encoding and Epidemiological Modeling via Even Felicitous Labeling. Journal of Computational Mathematica, 10(2), 60-101. https://doi.org/10.26524/cm240

Abstract

In this work, we have identifified a way for encoding a secret message utilizing the GMJ (Graph Message Jumbled) Code and even felicitous labeling on fifive-star graphs K11 K12 K13 K14 K15 . For every star graph, we give two examples and use a Java program to apply alphabetical techniques to the Corona Number and Triangular Number. A strategy for labeling an even felicitous graph and flflowchart is provided for transforming plaintext into ciphertext (Picture Coding). Furthermore, we demonstrate an innovative application of these graph labeling techniques to epidemiological modeling through a detailed analysis of the SIR (Susceptible-Infected-Recovered) epidemic model on star networks. The paper shows how felicitous labeling can encode varying transmission probabilities and infection states, providing insights for targeted public health interventions. This interdisciplinary approach bridges cryptography, graph theory, and epidemiology, offffering both secure communication methods and practical disease spread modeling frameworks.

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