UGC Approved Journal no 63975(19)

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Published in:

Volume 8 Issue 12
December-2021
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2112076


Registration ID:
317579

Page Number

a631-a636

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Title

Mining Attribute Based Access Control Polices Using Machine Learning

Abstract

In machine learning, support vector machines is the technique with associated learning algorithms that analyze data & distinguish patterns, used for classification. As class labels are not given in existing system, proposed system uses Unsupervised learning method. Users allocate resources & User have attributes, SVM used to classify users depends upon attributes & policies. A new incremental, parallel and distributed SVM algorithm uses linear or non- linear hierarchy. The proposed system classifies very large datasets on standard personal computers. Support Vector Machine (SVM) algorithm used to classify users, resources based on attributes, it classifies users into access control & access grant permissions based on the access behaviour. The proposed system trains the rules of users .It first finds support set then it generate new rule according to support set and the behavioral access attributes.

Key Words

Machine learning, Unsupervised learning, Support Vector Machine, RBAC.

Cite This Article

"Mining Attribute Based Access Control Polices Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 12, page no.a631-a636, December-2021, Available :http://www.jetir.org/papers/JETIR2112076.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

"Mining Attribute Based Access Control Polices Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 12, page no. ppa631-a636, December-2021, Available at : http://www.jetir.org/papers/JETIR2112076.pdf

Publication Details

Published Paper ID: JETIR2112076
Registration ID: 317579
Published In: Volume 8 | Issue 12 | Year December-2021
DOI (Digital Object Identifier):
Page No: a631-a636
Country: Pune, Maharshtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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