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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article">
	<front>
		<journal-meta>
			<journal-id journal-id-type="publisher-id">INFORMATICA</journal-id>
			<journal-title-group>
				<journal-title>Informatica</journal-title>
			</journal-title-group>
			<issn pub-type="epub">0868-4952</issn>
			<issn pub-type="ppub">0868-4952</issn>
			<publisher>
				<publisher-name>VU</publisher-name>
			</publisher>
		</journal-meta>
		<article-meta>
			<article-id pub-id-type="publisher-id">inf24202</article-id>
			<article-id pub-id-type="doi">10.15388/Informatica.2013.391</article-id>
			<article-categories>
				<subj-group subj-group-type="heading">
					<subject>Research article</subject>
				</subj-group>
			</article-categories>
			<title-group>
				<article-title>A New Pseudo-Random Number Generator Based on Two Chaotic Maps</article-title>
			</title-group>
			<contrib-group>
				<contrib contrib-type="Author">
					<name>
						<surname>Francois</surname>
						<given-names>Michael</given-names>
					</name>
					<xref ref-type="aff" rid="j_INFORMATICA_aff_000"/>
				</contrib>
				<contrib contrib-type="Author">
					<name>
						<surname>Grosges</surname>
						<given-names>Thomas</given-names>
					</name>
					<email xlink:href="mailto:thomas.grosges@utt.fr">thomas.grosges@utt.fr</email>
					<xref ref-type="aff" rid="j_INFORMATICA_aff_000"/>
					<xref ref-type="corresp" rid="fn1">∗</xref>
				</contrib>
				<contrib contrib-type="Author">
					<name>
						<surname>Barchiesi</surname>
						<given-names>Dominique</given-names>
					</name>
					<xref ref-type="aff" rid="j_INFORMATICA_aff_000"/>
				</contrib>
				<contrib contrib-type="Author">
					<name>
						<surname>Erra</surname>
						<given-names>Robert</given-names>
					</name>
					<xref ref-type="aff" rid="j_INFORMATICA_aff_001"/>
				</contrib>
				<aff id="j_INFORMATICA_aff_000">Project Group for Automatic Mesh Generation and Advanced Methods, Gamma3 Project, University of Technology of Troyes, 12 rue Marie Curie, CS 42060, 10004 Troyes Cedex, France</aff>
				<aff id="j_INFORMATICA_aff_001">Network &amp; Information Security, Ecole Supérieure d'Informatique, Electronique, Automatique, 9 rue Vésale, 75005 Paris, France</aff>
			</contrib-group>
			<author-notes>
				<corresp id="fn1">
					<label>∗</label>Corresponding author.</corresp>
			</author-notes>
			<pub-date pub-type="epub">
				<day>01</day>
				<month>01</month>
				<year>2013</year>
			</pub-date>
			<volume>24</volume>
			<issue>2</issue>
			<fpage>181</fpage>
			<lpage>197</lpage>
			<history>
				<date date-type="received">
					<day>01</day>
					<month>09</month>
					<year>2011</year>
				</date>
				<date date-type="accepted">
					<day>01</day>
					<month>09</month>
					<year>2012</year>
				</date>
			</history>
			<abstract>
				<p>A new pseudo-random number generator (PRNG) is proposed. The principle of the method consists in mixing chaotic maps produced from an input initial vector. The algorithm uses permutations whose positions are computed and indexed by a chaotic function based on linear congruences. The performance of this scheme is evaluated through statistical analysis. Such a cryptosystem lets appear significant cryptographic qualities for a good security level.</p>
			</abstract>
			<kwd-group>
				<label>Keywords</label>
				<kwd>chaotic function</kwd>
				<kwd>permutation</kwd>
				<kwd>linear congruence</kwd>
				<kwd>pseudo-random</kwd>
				<kwd>cryptography</kwd>
			</kwd-group>
		</article-meta>
	</front>
</article>