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                <text>Conference Papers</text>
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    <name>Conference Paper</name>
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              <text>User Authentication with Graphical Passwords using Hybrid Images and Hash Function</text>
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              <text>Brute force attack; Graphical passwords; Hash; Hybrid images; Key-logger attack; Security; Shoulder-surfing attack; User authentication</text>
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              <text>As per human psychology, people remember visual objects more than texts. Although many user authentication mechanisms are based on text passwords, biometric characteristics, tokens, etc., image passwords have proven to be a substitute due to its ease of use and reliability. The technological advancements and evolutions in authentication mechanisms brought greater convenience but increased the probability of exposing passwords through various attacks like shoulder-surfing, dictionary, key-logger, and social engineering attacks. The proposed methodology addresses these vulnerabilities and ensures to keep up the usability of graphical passwords. The system displays hybrid images that users need to recognize and type the randomly generated alphanumeric or special character values associated with each of them. A mechanism to generate One Time Password (OTP) is included for additional security. As a result, it is difficult for an attacker to capture and misuse the password.  2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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          <name>Creator</name>
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              <text>Mundassery S.D.; Cherillath Sukumaran S.</text>
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              <text>Lecture Notes in Networks and Systems, Vol-290, pp. 247-257.</text>
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              <text>Springer Science and Business Media Deutschland GmbH</text>
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              <text>2021-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1007/978-981-16-4486-3_27" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-981-16-4486-3_27&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115049750&amp;amp;doi=10.1007%2F978-981-16-4486-3_27&amp;amp;partnerID=40&amp;amp;md5=011c5c8b7ccbb5e0cb4d8dceaff1d139" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115049750&amp;amp;doi=10.1007%2f978-981-16-4486-3_27&amp;amp;partnerID=40&amp;amp;md5=011c5c8b7ccbb5e0cb4d8dceaff1d139&lt;/a&gt;</text>
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              <text>Restricted Access</text>
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              <text>ISSN: 23673370; ISBN: 978-981164485-6</text>
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              <text>Online</text>
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              <text>English</text>
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              <text>Mundassery S.D., Department of Computer Science, CHRIST (Deemed to be) University, Bangalore, India; Cherillath Sukumaran S., Department of Computer Science, CHRIST (Deemed to be) University, Bangalore, India</text>
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