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                <text>Conference Papers</text>
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    <name>Conference Paper</name>
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              <text>Zero Trust-Based Adaptive Authentication using Composite Attribute Set</text>
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              <text>Adaptive authentication; Risk score; Zero trust</text>
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              <text>Rapid evolution of internet-oriented applications has increased the threats to confidential data. Single-factor authentication approaches are no longer sufficient to ensure user credibility. Multi-factor authentication schemes are also not tamper-proof. A Zero Trust, adaptive authentication-based approach that uses the user's past behavior can offer protection in this scenario. This paper proposes a system that collects a composite attribute set that includes the user behavior, attributes of the application through which the user is requesting access, and the device used. The enhanced collection allows the creation of detailed context that allows granular variance calculation and risk score.  2021 IEEE. All Rights Reserved.</text>
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              <text>Krishnan V.; Sreeja C.S.</text>
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          <name>Source</name>
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              <text>2021 IEEE 3rd PhD Colloquium on Ethically Driven Innovation and Technology for Society, PhD EDITS 2021</text>
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              <text>Institute of Electrical and Electronics Engineers Inc.</text>
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              <text>2021-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1109/PhDEDITS53295.2021.9649474" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/PhDEDITS53295.2021.9649474&lt;/a&gt;
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              <text>Restricted Access</text>
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          <name>Relation</name>
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              <text>ISBN: 978-166544013-4</text>
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          <name>Format</name>
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              <text>Online</text>
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              <text>English</text>
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          <name>Type</name>
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              <text>Krishnan V., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India; Sreeja C.S., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India</text>
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