Zooming into chaos for a fast, light and reliable cryptosystem
January 10, 2020 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Jeaneth Machicao, Odemir M. Bruno, Murilo S. Baptista
arXiv ID
2001.03549
Category
nlin.CD
Cross-listed
cs.CR,
cs.IT
Citations
1
Venue
arXiv.org
Last Checked
3 months ago
Abstract
In previous work, the $k$-logistic map [Machicao and Bruno, Chaos, vol. 27, 053116 (2017)] was introduced as a transformation operating in the $k$ less significant digits of the Logistic map. It exploited the map's pseudo-randomness character that is present in its less significant digits. In this work, we comprehensively analyze the dynamical and ergodic aspects of this transformation, show its applicability to generic chaotic maps or sets, and its potential impact on enabling the creation of a cryptosystem that is fast, light and reliable.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β nlin.CD
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
Persistent Homology of Complex Networks for Dynamic State Detection
R.I.P.
π»
Ghosted
Dynamical Complexity Of Short and Noisy Time Series
R.I.P.
π»
Ghosted
Shannon Entropy Rate of Hidden Markov Processes
R.I.P.
π»
Ghosted
Theoretical design and circuit implementation of integer domain chaotic systems
R.I.P.
π»
Ghosted
Spectral Simplicity of Apparent Complexity, Part I: The Nondiagonalizable Metadynamics of Prediction
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted