{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T13:33:55Z","timestamp":1775568835594,"version":"3.50.1"},"reference-count":47,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2025,5,21]],"date-time":"2025-05-21T00:00:00Z","timestamp":1747785600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Heilongjiang Provincial Discipline Collaborative Innovation Achievement Program","award":["LJGXCG2023-046"],"award-info":[{"award-number":["LJGXCG2023-046"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Symmetry"],"abstract":"<jats:p>This study proposes a novel two-dimensional hyperchaotic map model based on an orthogonal feedback mechanism, exhibiting dynamic behaviors with multistable characteristics and high complexity. By analyzing the homogeneous multistability of the system, it is revealed that the initial states determine the positions of attractors. An image encryption scheme for color images is developed by integrating confusion and diffusion strategies with this hyperchaotic map. The effectiveness of the proposed scheme in enabling secure image transmission is validated through comprehensive numerical simulations and rigorous security assessments.<\/jats:p>","DOI":"10.3390\/sym17050801","type":"journal-article","created":{"date-parts":[[2025,5,21]],"date-time":"2025-05-21T13:59:43Z","timestamp":1747835983000},"page":"801","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["A Novel 2D Hyperchaotic Map with Homogeneous Multistability and Its Application in Image Encryption"],"prefix":"10.3390","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9090-5521","authenticated-orcid":false,"given":"Xin","family":"Huang","sequence":"first","affiliation":[{"name":"Electronic Engineering College, Heilongjiang University, Harbin 150080, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9237-7996","authenticated-orcid":false,"given":"Wenhao","family":"Yan","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Weinan Normal University, Weinan 714099, China"}]},{"given":"Wenjie","family":"Dong","sequence":"additional","affiliation":[{"name":"Beijing Aerospace Institute of Automatic Control, Beijing 100854, China"}]},{"given":"Qun","family":"Ding","sequence":"additional","affiliation":[{"name":"Electronic Engineering College, Heilongjiang University, Harbin 150080, China"}]}],"member":"1968","published-online":{"date-parts":[[2025,5,21]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"365","DOI":"10.1016\/j.neucom.2013.05.018","article-title":"Effects of leakage time-varying delays in Markovian jump neural networks with impulse control","volume":"121","author":"Rakkiyappan","year":"2013","journal-title":"Neurocomputing"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1016\/j.neucom.2013.10.018","article-title":"Exponential stability of Markovian jumping stochastic Cohen-Grossberg neural networks with mode-dependent probabilistic time-varying delays and impulses","volume":"131","author":"Rakkiyappan","year":"2014","journal-title":"Neurocomputing"},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Yan, W., Jiang, Z., Huang, X., and Ding, Q. 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