Chaos blended cellular automata on fractals: the effective way of reconfigurable hardware assisted medical image privacy.

Cellular automata Chaos FPGA Fractals Hardware security LFSR

Journal

Multimedia tools and applications
ISSN: 1380-7501
Titre abrégé: Multimed Tools Appl
Pays: United States
ID NLM: 101555932

Informations de publication

Date de publication:
2022
Historique:
received: 11 08 2021
revised: 06 12 2021
accepted: 10 04 2022
pubmed: 26 4 2022
medline: 26 4 2022
entrez: 25 4 2022
Statut: ppublish

Résumé

In more recent times data continues to be generated at a very unprecedented scale. This is a result of the pervasive nature of modern-day digitisation. As such, it is absolutely critical that this data only be accessed by the trusted parties concerned in an effort to maintain the privacy of individuals. One particular type data that could severely compromise the identity and privacy of an individual is '

Identifiants

pubmed: 35463222
doi: 10.1007/s11042-022-13165-8
pii: 13165
pmc: PMC9014785
doi:

Types de publication

Journal Article

Langues

eng

Pagination

33087-33106

Informations de copyright

© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022.

Déclaration de conflit d'intérêts

Conflict of interestThe authors confirm that this work is original and has not been published elsewhere, nor is it currently under consideration for publication elsewhere. The authors believe this manuscript is appropriate for publication and have no conflicts of interest to disclose.

Auteurs

R Sivaraman (R)

SASTRA Deemed University, Thanjavur, Tamil Nadu 613401 India.

Ajay Vijaykumar (A)

SASTRA Deemed University, Thanjavur, Tamil Nadu 613401 India.

Prem Savarinathan (P)

SASTRA Deemed University, Thanjavur, Tamil Nadu 613401 India.

Avila Jayapalan (A)

SASTRA Deemed University, Thanjavur, Tamil Nadu 613401 India.

Classifications MeSH