Network Security and Risk Technologies

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Notice

nThis is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.n

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Year : 2025 [if 2224 equals=””]24/09/2025 at 3:57 PM[/if 2224] | [if 1553 equals=””] Volume : 13 [else] Volume : 13[/if 1553] | [if 424 equals=”Regular Issue”]Issue : [/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] 03 | Page : 26 34

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    Muskan Sharma, Krati Sharma, Khushi Sharma, Navya Khandelwal,

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  1. Student, Associate Professor, Student, Student, Department of Computer Science and Engineering, Poornima Institute of Engineering and Technology, Jaipur, Department of English and Soft Skills, Poornima Institute of Engineering and Technology, Jaipur, Department of Computer Science and Engineering, Poornima Institute of Engineering and Technology, Jaipur, Department of Computer Science and Engineering, Poornima Institute of Engineering and Technology, Jaipur, Rajasthan, Rajasthan, Rajasthan, Rajasthan, India, India, India, India

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Abstract

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nThis research work delves into the dynamic domain of network security risk, providing a comprehensive analysis of corruption of data. The study explores strategic models aimed at strengthening network defenses in response to the continually changing threat environment. In the past, network security has relied on various technologies to mitigate risks, which include Firewalls, Virtual Private Networks (VPNs) and Encryption Protocols. The research scrutinizes the role of technologies such as homomorphic encryption for safeguarding data privacy and the emergence of Extended Detection and Response (XDR) platforms for holistic threat management. Automation, self-healing networks, and advancements in biometric authentication methods are also discussed as integral components of a resilient security infrastructure. Future of network security risk technologies are growing rapidly and are witnessing advancement in technologies which include AI-Powered Threat Intelligence, 5G Security, Enhanced extended detection Response (XDR), Biometric Authentication Advances and Self-Healing Networks.nn

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Keywords: Data, AI, XDR, management, IoT

n[if 424 equals=”Regular Issue”][This article belongs to Journal Of Network security ]

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[/if 424][if 424 equals=”Special Issue”][This article belongs to Special Issue under section in Journal Of Network security (jons)][/if 424][if 424 equals=”Conference”]This article belongs to Conference [/if 424]

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How to cite this article:
nMuskan Sharma, Krati Sharma, Khushi Sharma, Navya Khandelwal. [if 2584 equals=”][226 wpautop=0 striphtml=1][else]Network Security and Risk Technologies[/if 2584]. Journal Of Network security. 17/09/2025; 13(03):26-34.

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How to cite this URL:
nMuskan Sharma, Krati Sharma, Khushi Sharma, Navya Khandelwal. [if 2584 equals=”][226 striphtml=1][else]Network Security and Risk Technologies[/if 2584]. Journal Of Network security. 17/09/2025; 13(03):26-34. Available from: https://journals.stmjournals.com/jons/article=17/09/2025/view=0

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[if 424 not_equal=””]Regular Issue[else]Published[/if 424] Subscription Review Article

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Journal Of Network security

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[if 344 not_equal=””]ISSN: 2395-6739[/if 344]

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Volume 13
[if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] 03
Received 12/05/2025
Accepted 21/08/2025
Published 17/09/2025
Retracted
Publication Time 128 Days

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