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Zero-Trust Security Models Overview

Authors: null Keshav Jena;

Zero-Trust Security Models Overview

Abstract

In an era of increasing cyber threats and data breaches, traditional security models that rely on trust-based access control are proving inadequate. Zero-Trust Security Models, which operate on the principle of "never trust, always verify," have gained prominence as a novel approach to fortifying digital defenses. This research paper offers a comprehensive overview of Zero-Trust Security Models, exploring their historical context, fundamental principles, implementation strategies, and real-world applications. By examining case studies and industry examples, it demonstrates how Zero-Trust can effectively enhance cybersecurity in today's dynamic threat landscape. This paper serves as a valuable resource for understanding and adopting Zero-Trust Security Models to bolster organizational security and protect against modern cyber threats.

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
gold