UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 10 Issue 9
September-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2309359


Registration ID:
524961

Page Number

d566-d573

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Title

Security Model for Machine Learning Based Infrastructures

Abstract

A Security Model for machine Learning-Based Infrastructure is an important component of any Machine Learning Model. It helps to ensure that data is protected, models are secure, and results are reliable and accurate. The Security Model covers data Security, model security, Infrastructure Security, and user access control. Machine learning represents a base technology for current and future information systems. However, the deployment of machine learning in cyber security is still at an early stage, revealing a Significant discrepancy between research and practice.

Key Words

Keywords—Security Model, Machine Learning-Based infrastructure, Intrusion Detection, etc.

Cite This Article

"Security Model for Machine Learning Based Infrastructures", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 9, page no.d566-d573, September-2023, Available :http://www.jetir.org/papers/JETIR2309359.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Security Model for Machine Learning Based Infrastructures", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 9, page no. ppd566-d573, September-2023, Available at : http://www.jetir.org/papers/JETIR2309359.pdf

Publication Details

Published Paper ID: JETIR2309359
Registration ID: 524961
Published In: Volume 10 | Issue 9 | Year September-2023
DOI (Digital Object Identifier):
Page No: d566-d573
Country: Roorkee, uttrkhnad, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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