19 Dec 20241cites
Enhancing encryption of an RGB image by combining the Lorenz chaotic system and Arnold’s cat mapPublisher siteActive, last published 2026
In chaos-based image/signal encryption
Fouzia El
Azzaby
Scholar“Research focused on Chaos-based Image/Signal Encryption and adjacent fields.”
Ibn Tofail University
Morocco
Claim Your ProfileMorocco2
H-index
55
Citations
Fouzia has not officially claimed their profile. If you are Fouzia, claim it free.
Claim Your Profile
Pioneer
LOCKED
Pathfinder
LOCKED
Scholar
EARNED
Innovator
LOCKED
Inventor
LOCKED
Catalyst
LOCKED
Expert
UPGRADE
01 · About the work
What I study
ouzia El Azzaby is a researcher working on Chaos-based Image/Signal Encryption. A fuller summary will appear once they update their profile.
02 · Reach
Publication output and reach
Fouzia's work has been cited 55 times across 2 active years. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
03 · Research focus
Topics
Chaos-based Image/Signal Encryption×4Advanced Steganography and Watermarking Techniques×2Mathematical Dynamics and Fractals×2
04 · Where I am
Affiliations
Affiliation on published researchUniversité Ibn-Tofail, MoroccoDrawn from the institution listed on this researcher’s published work.
05 · Selected work
Recent publications
3 works1 Jan 2024
Securing RGB Image Using an Algorithm Based on the Pickover 3D Attractors System and Rearrangement by BlockPublisher siteLecture notes in networks and systems, Chaos-based Image/Signal Encryption
5 Aug 202332cites
A new encryption scheme for RGB color images by coupling 4D chaotic laser systems and the Heisenberg groupPublisher siteMultimedia Tools and Applications, Chaos-based Image/Signal Encryption
Expert Academic Profiles go further
Citation trend analytics, exportable publication records, and direct enquiry routing from industry and funders.
Are you Fouzia?
Claim it to verify your details, connect with industry partners, and explore Fractional Domain Expert opportunities through MARATTO™.
African researchers are full of potential that too often goes unrecognised. Your MARATTO™ profile gives your work the commercial pathway it deserves.
Claim Your Profile
Free to claim · takes a minute to verify it’s you