Irregular Reflexive Labeling and Elementary Row Operations for Enhanced Biometric Image Encryption

A total k-labeling defined the function fe: E(G) → {1, 2, …, ke} and fv: V(G) → {0, 2, …, 2kv}, where, k = max {ke, 2kv}. For graph G, the total k-labeling is called an edge (or a vertex) irregular reflexive k-labeling if the condition of every two different edges (or vertices) has different weights. The smallest value of k for which such labeling exists is called the reflexive edge strength (or reflexive vertex strength) of the graph G, denoted by res (G) (or rvs(G)). This research objective is developing edge irregular reflexive k-labeling and combining edge and vertex irregular reflexive k-labeling and row element operation as an innovative approach to constructing a robust keystream for biometric image encryption. The results show that the best keystream is generated by Cn⊙P2 and the complete graph. Our results can also surpass existing encryption algorithms such as AES and DES.

Authors

Publication Details

Journal
Journal of Computer Science
Published
2024-11-29
DOI
https://doi.org/10.3844/jcssp.2024.1766.1777
Citations
1
Primary Topic
Digital Image Processing Techniques
Type
article
Field-Weighted Citation Impact
0.25

Funders

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article

Irregular Reflexive Labeling and Elementary Row Operations for Enhanced Biometric Image Encryption

Marsidi Marsidi, Kiswara Agung Santoso, Dafik Dafik, Rifki Ilham Baihaki et al.
1 citations
Journal of Computer Science
Digital Image Processing Techniques
0.25
article

Irregular Reflexive Labeling and Elementary Row Operations for Enhanced Biometric Image Encryption

Marsidi Marsidi, Kiswara Agung Santoso, Dafik Dafik, Rifki Ilham Baihaki, Ika Hesti Agustin
article en
1 citations

Abstract

A total k-labeling defined the function fe: E(G) → {1, 2, …, ke} and fv: V(G) → {0, 2, …, 2kv}, where, k = max {ke, 2kv}. For graph G, the total k-labeling is called an edge (or a vertex) irregular reflexive k-labeling if the condition of every two different edges (or vertices) has different weights. The smallest value of k for which such labeling exists is called the reflexive edge strength (or reflexive vertex strength) of the graph G, denoted by res (G) (or rvs(G)). This research objective is developing edge irregular reflexive k-labeling and combining edge and vertex irregular reflexive k-labeling and row element operation as an innovative approach to constructing a robust keystream for biometric image encryption. The results show that the best keystream is generated by Cn⊙P2 and the complete graph. Our results can also surpass existing encryption algorithms such as AES and DES.

Journal of Computer ScienceVol. 20(12)
Universitas Jember
Openalex Percentile: Top 44%
Digital Image Processing Techniques
0.25
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