A transformation of mappings preserving the property of robust chaos
Robust chaos is a phenomenon characterized by the continuous occurrence of chaos for the variability of control parameters. Therefore, chaotic systems with this property are highly desirable in various applications, e.g. chaos-based cryptography. One of the properties that allows the construction of maps with robust chaos is the S-unimodality property. This paper presents a new method to transform an S-unimodal map to its skew form while preserving the S-unimodal property. Thus, a new family of skew maps is defined with a new parameter q ∈ ( 0 , 1 ) , which allows the generation of robust chaos for any value of the parameter q . In addition to the theoretical results concerning this transformation, a number of examples of new families of chaotic maps are presented using known classical chaotic systems, such as the logistic map or the sine map. The application of skew maps in chaotic cryptography is also discussed in this paper. • Transformation of an S-unimodal map to its skewed form. • Skew S-unimodal maps generate robust chaos. • Due to their properties, skew S-unimodal maps can be used in various applications, in particular in chaotic cryptography.
Authors
- E. Campos-Cantón (ORCID: https://orcid.org/0000-0002-1098-1610)
- Marcin Lawnik (ORCID: https://orcid.org/0000-0002-0235-0878)
- Lazaros Moysis (ORCID: https://orcid.org/0000-0002-5652-2532)
- Murilo S. Baptista (ORCID: https://orcid.org/0000-0003-2279-0317)
- CHRISTOS K. VOLOS (ORCID: https://orcid.org/0000-0001-8763-7255)
Institutions
- Silesian University of Technology (PL)
- University of Aberdeen (GB)
- Aristotle University of Thessaloniki (GR)
- Institute for Scientific and Technological Research (MX)
- University of Western Macedonia (GR)
Publication Details
- Journal
- Chaos Solitons & Fractals
- Published
- 2025-07-16
- DOI
- https://doi.org/10.1016/j.chaos.2025.116827
- Citations
- 3
- Primary Topic
- Mathematical Dynamics and Fractals
- Type
- article
- Field-Weighted Citation Impact
- 11.08