EXPLORING LUKABARASI NOMINAL COMPOUNDS: STRUCTURAL TYPES AND COMMUNICATIVE ROLES

It is essential to secure information to store or transfer medical digital files without destruction. Currently, all used e-health files requests to be utilized in well-controlled, protected, and dependable style avoiding breaches and hacking. This research focuses on medical confidentiality encrypting grayscale health images for comfortable safe utilization. The work depends on resilience randomization and XOR operations for its medical-image cryptography. It tests performance of some random generators conveying the best every time running that is dynamically changing depending on e-health image variations. The research tests several randomizations structures processed as two sequenced encryption methods adopting substitution and transposition. The work tested random variations to encrypt different medical grayscale images revealing attractive remarks. The paper investigation intends to recognize appropriate preference via secrecy testing typical notations. The work indicates this flexibility of best applicable PRNG and its change features interesting privacy intellectual medical gray-image security for open e-health research direction to benefit from.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-01-19
DOI
https://doi.org/10.5281/zenodo.18668246
Primary Topic
Chaos-based Image/Signal Encryption
Type
article
Field-Weighted Citation Impact
0.00
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article

EXPLORING LUKABARASI NOMINAL COMPOUNDS: STRUCTURAL TYPES AND COMMUNICATIVE ROLES

Naomi Atieno Dr. Odhiambo, Daniel Kiprotich Prof. Cheruiyot
Zenodo (CERN European Organization for Nuclear Research)
Chaos-based Image/Signal Encryption
article

EXPLORING LUKABARASI NOMINAL COMPOUNDS: STRUCTURAL TYPES AND COMMUNICATIVE ROLES

Naomi Atieno Dr. Odhiambo, Daniel Kiprotich Prof. Cheruiyot
article en

Abstract

It is essential to secure information to store or transfer medical digital files without destruction. Currently, all used e-health files requests to be utilized in well-controlled, protected, and dependable style avoiding breaches and hacking. This research focuses on medical confidentiality encrypting grayscale health images for comfortable safe utilization. The work depends on resilience randomization and XOR operations for its medical-image cryptography. It tests performance of some random generators conveying the best every time running that is dynamically changing depending on e-health image variations. The research tests several randomizations structures processed as two sequenced encryption methods adopting substitution and transposition. The work tested random variations to encrypt different medical grayscale images revealing attractive remarks. The paper investigation intends to recognize appropriate preference via secrecy testing typical notations. The work indicates this flexibility of best applicable PRNG and its change features interesting privacy intellectual medical gray-image security for open e-health research direction to benefit from.

Zenodo (CERN European Organization for Nuclear Research)
Masinde Muliro University of Science and Technology (KE)
Peace, Justice and strong institutions
Openalex Percentile: Top 54%
Chaos-based Image/Signal Encryption
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