A memristive autapse-synapse neural network: application to image encryption. (21st February 2023)
- Record Type:
- Journal Article
- Title:
- A memristive autapse-synapse neural network: application to image encryption. (21st February 2023)
- Main Title:
- A memristive autapse-synapse neural network: application to image encryption
- Authors:
- Zhang, Xi
Jiang, Donghua
De Dieu Nkapkop, Jean
Njitacke, Zeric Tabekoueng
Ahmad, Musheer
Zhu, Liya
Tsafack, Nestor - Abstract:
- Abstract: With the advent of the physical memristor, various memristive neural network models have been designed and analyzed to mimic some human brain functions. However, there is a realistic issue because many works reported the coupling of neuron models using either memristive synapse or memristive autapse, whereas in the real brain, a neuron can interact with both another neuron (memristive synapse) and with itself (memristive autapse). Two main ideas are developed in this work. First, we investigate the dynamics of two different neurons coupled via memristive synapse and memristive autapse. The analyses indicate that the global dynamics of this highly relies on the neuron's coupling strength. Second, a cryptographic scheme based on both S-Box driven block compressive sensing and the memristive autapse synapse model is proposed. Performance analyses indicate that the coupling strength of the proposed neural network model can be adjusted to increase or decrease the security of medical data.
- Is Part Of:
- Physica scripta. Volume 98:Number 3(2023)
- Journal:
- Physica scripta
- Issue:
- Volume 98:Number 3(2023)
- Issue Display:
- Volume 98, Issue 3 (2023)
- Year:
- 2023
- Volume:
- 98
- Issue:
- 3
- Issue Sort Value:
- 2023-0098-0003-0000
- Page Start:
- Page End:
- Publication Date:
- 2023-02-21
- Subjects:
- memristive synapse -- memristive autapse -- neural network model -- compressive sensing -- image encryption
Physics -- Periodicals
530.05 - Journal URLs:
- http://iopscience.iop.org/1402-4896/ ↗
http://www.physica.org/ ↗
http://www.iop.org/ ↗ - DOI:
- 10.1088/1402-4896/acbb38 ↗
- Languages:
- English
- ISSNs:
- 0031-8949
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 26027.xml