A fast pseudo-stochastic sequential cipher generator based on RBMs

Based on Restricted Boltzmann machines, an improved pseudo-stochastic sequential cipher generator is proposed. It is effective and efficient because of the two advantages: this generator includes a stochastic neural network that can perform the calculation in parallel, that is to say, all elements a...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Neural computing & applications 2018-08, Vol.30 (4), p.1277-1287
Hauptverfasser:	Hu, Fei, Xu, Xiaofei, Peng, Tao, Pu, Changjiu, Li, Li
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial Intelligence Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Correlation analysis Cybersecurity Data Mining and Knowledge Discovery Encryption Image Processing and Computer Vision Mathematical analysis Neural networks Original Article Periodic variations Probability and Statistics in Computer Science Run time (computers) Sensitivity analysis
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!