<rdf:RDF xmlns:rdf="http://www.openarchives.org/OAI/2.0/rdf/" xmlns:ow="http://www.ontoweb.org/ontology/1#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:ds="http://dspace.org/ds/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/rdf/ http://www.openarchives.org/OAI/2.0/rdf.xsd">
   <ow:Publication rdf:about="oai:digibug.ugr.es:10481/69050">
      <dc:title>Medical Images Encryption Based on Adaptive-Robust Multi-Mode Synchronization of Chen Hyper-Chaotic Systems</dc:title>
      <dc:creator>Kekha Javan, Ali Akbar</dc:creator>
      <dc:creator>Gorriz Sáez, Juan Manuel</dc:creator>
      <dc:subject>Medical images</dc:subject>
      <dc:subject>Encryption</dc:subject>
      <dc:subject>Multi-mode synchronization</dc:subject>
      <dc:subject>Robust control</dc:subject>
      <dc:subject>Time varying</dc:subject>
      <dc:subject>Lyapunov stability</dc:subject>
      <dc:description>In this paper, a novel medical image encryption method based on multi-mode synchronization of hyper-chaotic systems is presented. The synchronization of hyper-chaotic systems is of&#xd;
great significance in secure communication tasks such as encryption of images. Multi-mode synchronization is a novel and highly complex issue, especially if there is uncertainty and disturbance. In&#xd;
this work, an adaptive-robust controller is designed for multimode synchronized chaotic systems&#xd;
with variable and unknown parameters, despite the bounded disturbance and uncertainty with a&#xd;
known function in two modes. In the first case, it is a main system with some response systems,&#xd;
and in the second case, it is a circular synchronization. Using theorems it is proved that the two&#xd;
synchronization methods are equivalent. Our results show that, we are able to obtain the convergence&#xd;
of synchronization error and parameter estimation error to zero using Lyapunov’s method. The&#xd;
new laws to update time-varying parameters, estimating disturbance and uncertainty bounds are&#xd;
proposed such that stability of system is guaranteed. To assess the performance of the proposed&#xd;
synchronization method, various statistical analyzes were carried out on the encrypted medical&#xd;
images and standard benchmark images. The results show effective performance of the proposed&#xd;
synchronization technique in the medical images encryption for telemedicine application.</dc:description>
      <dc:date>2021-06-08T08:28:32Z</dc:date>
      <dc:date>2021-06-08T08:28:32Z</dc:date>
      <dc:date>2021</dc:date>
      <dc:type>info:eu-repo/semantics/article</dc:type>
      <dc:identifier>Javan, A.A.K.; Jafari, M.; Shoeibi, A.; Zare, A.; Khodatars, M.; Ghassemi, N.; Alizadehsani, R.; Gorriz, J.M. Medical Images Encryption Based on Adaptive-Robust Multi-Mode Synchronization of Chen Hyper-Chaotic Systems. Sensors 2021, 21, 3925. https://doi.org/10.3390/ s21113925</dc:identifier>
      <dc:identifier>http://hdl.handle.net/10481/69050</dc:identifier>
      <dc:identifier>10.3390/s21113925</dc:identifier>
      <dc:language>eng</dc:language>
      <dc:rights>http://creativecommons.org/licenses/by/3.0/es/</dc:rights>
      <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
      <dc:rights>Atribución 3.0 España</dc:rights>
      <dc:publisher>MDPI</dc:publisher>
   </ow:Publication>
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