<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>0123-7799</journal-id>
<journal-title><![CDATA[TecnoLógicas]]></journal-title>
<abbrev-journal-title><![CDATA[TecnoL.]]></abbrev-journal-title>
<issn>0123-7799</issn>
<publisher>
<publisher-name><![CDATA[Instituto Tecnológico Metropolitano - ITM]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0123-77992024000300204</article-id>
<article-id pub-id-type="doi">10.22430/22565337.3132</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Steganographic Cryptosystem Based on the Use of Chaos Theory and Cellular Automata]]></article-title>
<article-title xml:lang="es"><![CDATA[Criptosistema esteganográfico basado en el uso de teoría del caos y autómatas celulares]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Arias-Cárdenas]]></surname>
<given-names><![CDATA[Marlon]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Alvarado-Nieto]]></surname>
<given-names><![CDATA[Deicy]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Amaya-Barrera]]></surname>
<given-names><![CDATA[Isabel]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Distrital Francisco José de Caldas  ]]></institution>
<addr-line><![CDATA[Bogotá ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Distrital Francisco José de Caldas  ]]></institution>
<addr-line><![CDATA[Bogotá ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad Distrital Francisco José de Caldas  ]]></institution>
<addr-line><![CDATA[Bogotá ]]></addr-line>
<country>Colombia</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2024</year>
</pub-date>
<volume>27</volume>
<numero>61</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S0123-77992024000300204&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S0123-77992024000300204&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S0123-77992024000300204&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract The exchange of large amounts of information through public channels has become an everyday occurrence, a situation that generates great risks in the case of possible cyber-attacks and motivates the academic and scientific community to develop new robust security schemes. The objective of the research was to use mathematical and artificial intelligence tools to propose new security schemes. The design and implementation of a crypto-steganographic algorithm for text is described below. The methodology employed consisted of using cellular automata to detect the edges of a carrier image, leveraging the color contrast diversity, and the Tinkerbell chaotic attractor to generate two pseudo-random sequences: one for the encryption scheme and the other to select the edge pixels of the carrier image where cryptogram bits are hidden. Additionally, a verification phase was included in which the receiver provides a code to confirm that the stegoimage was not altered. The system key is shared between the sender and the receiver using the Diffie-Hellman algorithm. The proposed algorithm was subjected to a series of steganographic and cryptographic performance tests, including entropy analysis, mean square error (MSE), correlation coefficients, key sensitivity, peak signal-to-noise ratio (PSNR), normalized root mean square error (NRMSE), and the structural similarity index (SSI). The results of PSNR, MSE and SSI test were compared with scientific benchmarks, revealing indicators that align with the standards of information security. Finally, a crypto-steganographic algorithm was consolidated as a result of an academic exercise whose indicators make it potentially applicable in real-world contexts.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen El intercambio de grandes cantidades de información a través de canales públicos se ha convertido en algo cotidiano, situación que genera grandes riesgos ante posibles ciberataques y motiva a la comunidad académica y científica a desarrollar nuevos esquemas robustos de seguridad. El objetivo de la investigación fue utilizar herramientas de matemáticas e inteligencia artificial para proponer nuevos esquemas de seguridad. A continuación, se describe el diseño e implementación de un algoritmo cripto-esteganográfico para texto. La metodología empleada consistió en usar autómatas celulares para detectar los bordes de una imagen portadora, aprovechando la diversidad de contrastes de color, así como el atractor caótico Tinkerbell para generar dos secuencias pseudoaleatorias: una para el esquema de cifrado y otra para seleccionar los píxeles de los bordes de la imagen portadora, donde se ocultan los bits del criptograma. Además, se incluyó una fase de verificación, en la que el receptor proporciona un código para confirmar que la imagen stego no fue manipulada. La clave del sistema se comparte entre el emisor y el receptor mediante el algoritmo Diffie-Hellman. El algoritmo propuesto se sometió a una serie de pruebas de rendimiento esteganográfico y criptográfico, tales como el análisis de entropía, el error cuadrático medio (MSE), los coeficientes de correlación, la sensibilidad de la clave, la relación señal-ruido máxima (PSNR), el error cuadrático medio normalizado (NRMSE) y el índice de similitud estructural (SSI). Los resultados de las pruebas PSNR, MSE y SSI, se compararon con referencias científicas, revelando indicadores que se ajustan a los estándares de seguridad de la información. Finalmente, se consolidó un algoritmo criptoesteganográfico resultado de un ejercicio académico cuyos indicadores lo convierten en potencial de aplicación en contextos del mundo real.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Security]]></kwd>
<kwd lng="en"><![CDATA[cellular automata]]></kwd>
<kwd lng="en"><![CDATA[chaos]]></kwd>
<kwd lng="en"><![CDATA[cryptography]]></kwd>
<kwd lng="en"><![CDATA[image edge detection]]></kwd>
<kwd lng="en"><![CDATA[steganography]]></kwd>
<kwd lng="es"><![CDATA[Seguridad]]></kwd>
<kwd lng="es"><![CDATA[autómatas celulares]]></kwd>
<kwd lng="es"><![CDATA[caos]]></kwd>
<kwd lng="es"><![CDATA[criptografía]]></kwd>
<kwd lng="es"><![CDATA[detección de bordes]]></kwd>
<kwd lng="es"><![CDATA[esteganografía]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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