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<!DOCTYPE ArticleSet PUBLIC "-//NLM//DTD PubMed 2.7//EN" "https://dtd.nlm.nih.gov/ncbi/pubmed/in/PubMed.dtd">
<ArticleSet>
<Article>
<Journal>
				<PublisherName>Iranian Society of Cryptology</PublisherName>
				<JournalTitle>The ISC International Journal of Information Security</JournalTitle>
				<Issn>2008-2045</Issn>
				<Volume>1</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2009</Year>
					<Month>07</Month>
					<Day>25</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Image flip CAPTCHA</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>105</FirstPage>
			<LastPage>123</LastPage>
			<ELocationID EIdType="pii">39170</ELocationID>
			
<ELocationID EIdType="doi">10.22042/isecure.2015.1.2.4</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>M.</FirstName>
					<LastName>Tariq Banday</LastName>
<Affiliation></Affiliation>

</Author>
<Author>
					<FirstName>N.</FirstName>
					<LastName>A. Shah</LastName>
<Affiliation></Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2009</Year>
					<Month>03</Month>
					<Day>19</Day>
				</PubDate>
			</History>
		<Abstract>The massive and automated access to Web resources through robots has made it essential for Web service providers to make some conclusion about whether the &quot;user&quot; is a human or a robot. A Human Interaction Proof (HIP) like Completely Automated Public Turing test to tell Computers and Humans Apart (CAPTCHA) offers a way to make such a distinction. CAPTCHA is a reverse Turing test used by Web service providers to secure human interaction assumed services from Web bots. Several Web services that include and are not limited to free e-mail accounts, online polls, chat rooms, search engines, blogs, password systems, etc. use CAPTCHA as a defensive mechanism against automated Web bots. In this paper, we present a new clickable image-based CAPTCHA technique. The technique presents user with a CAPTCHA image composed of several sub-images. Properties of the proposed technique offer all of the benefits of image-based CAPTCHAs; grant improved security than that of usual OCR-based techniques, consume less Web page area than most of image-based techniques and at the same time improve the user-friendliness of the Web page.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">CAPTCHA</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">HIP</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Botnet</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Image CAPTCHA</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Clickable CAPTCHA</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">CAPTCHA Security</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">CAPTCHA Usability</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://www.isecure-journal.com/article_39170_325f53e3727938dc321cafd8b8ce8dcb.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
