ArticleSensors (Basel, Switzerland)2020
Chaotic Image Encryption Using Hopfield and Hindmarsh-Rose Neurons Implemented on FPGA.
Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- Development of digital hardware for a spiking image recognition network employing a novel burst-based reinforcement learning approach.Scientific reports · 2025Article
- Efficient digital design of the nonlinear behavior of Hindmarsh-Rose neuron model in large-scale neural population.Scientific reports · 2024Article
- Star Memristive Neural Network: Dynamics Analysis, Circuit Implementation, and Application in a Color Cryptosystem.Entropy (Basel, Switzerland) · 2023Article
- Spiking Neuron Mathematical Models: A Compact Overview.Bioengineering (Basel, Switzerland) · 2023Review
- A Novel Color Image Encryption Scheme Based on Hyperchaos and Hopfield Chaotic Neural Network.Entropy (Basel, Switzerland) · 2022Article
- Optimization of fractional-order chaotic cellular neural networks by metaheuristics.The European physical journal. Special topics · 2022Article
- Security Analysis and Improvement of an Image Encryption Cryptosystem Based on Bit Plane Extraction and Multi Chaos.Entropy (Basel, Switzerland) · 2021Article
- Single Neuronal Dynamical System in Self-Feedbacked Hopfield Networks and Its Application in Image Encryption.Entropy (Basel, Switzerland) · 2021Article
- A Multi-User Public Key Encryption with Multi-Keyword Search out of Bilinear Pairings.Sensors (Basel, Switzerland) · 2020Article
- An Efficient Key Management Technique for the Internet of Things.Sensors (Basel, Switzerland) · 2020Article
- Blockchain for COVID-19: Review, Opportunities, and a Trusted Tracking System.Arabian journal for science and engineering · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Chaotic systems implemented by artificial neural networks are good candidates for data encryption. In this manner, this paper introduces the cryptographic application of the Hopfield and the Hindmarsh-Rose neurons. The contribution is focused on finding suitable coefficient values of the neurons to generate robust random binary sequences that can be used in image encryption. This task is performed by evaluating the bifurcation diagrams from which one chooses appropriate coefficient values of the mathematical models that produce high positive Lyapunov exponent and Kaplan-Yorke dimension values, which are computed using TISEAN. The randomness of both the Hopfield and the Hindmarsh-Rose neurons is evaluated from chaotic time series data by performing National Institute of Standard and Technology (NIST) tests. The implementation of both neurons is done using field-programmable gate arrays whose architectures are used to develop an encryption system for RGB images. The success of the encryption system is confirmed by performing correlation, histogram, variance, entropy, and Number of Pixel Change Rate (NPCR) tests.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.