UGC Approved Journal no 63975(19)

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

Volume 8 Issue 8
August-2021
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2108299


Registration ID:
314032

Page Number

c387-c392

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Title

NETWORK INTRUSION DETECTION USING REGISTER TAG DISABLE FUNCTION SECURITY MODEL (RTDFSM) APPROACH

Abstract

To determine a framework model which describes the registration purpose, assigning Tag-IDs and Disable functional mode thereby providing scalability issues that is specified as a novel approach for intrusion avoidance in the social networks. This research work suggests a model framework namely Register Tag Disable Function Security Model (RTDFSM), which provides “Data sharing” as the first motive to support the network technologies and provides “Data Security” that supports data sharing along with security benefits by assigning tag identification numbers (tag-ids), and Disable function process in order to detect the intrusions by fixing the data size and its time series to share process. A recent survey depicts that Facebook has at least 1.71 billion active users per month. In addition the survey has estimated that 400 million photos per day are being uploaded. The reason behind is the users adaptive behaviour of sharing. The security parameters are fixed and this model has achieved 70% level scalability in case of data storage and the time series maintenance processes when compared to other network security algorithms. The time series is analysed with the suitable ‘disable function’ say ‘Df’ when all the assigned tag and data is enabled for ‘protected download’ option. The increase in number of the function grows to a considerable percentage ranging from 10%, 20% upto 58% at the later stage. Computer networks are the fundamental platform for online transactions and sharing of information worldwide. Without Social Networks (SNs) such as Facebook, Twitter or Instagram, the real internet applications seem to be considered idle only for data processing and not for data sharing. The research work is a novel model named as “Register Tag Disable Function Security Model (RTDFSM)” that will enable user authenticity for every data sharing process in the network communication either in wired or in wireless media.

Key Words

Register Tag Disable Function, Disable Function, Fit Size, Time Series, Social networks.

Cite This Article

"NETWORK INTRUSION DETECTION USING REGISTER TAG DISABLE FUNCTION SECURITY MODEL (RTDFSM) APPROACH", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 8, page no.c387-c392, August-2021, Available :http://www.jetir.org/papers/JETIR2108299.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

"NETWORK INTRUSION DETECTION USING REGISTER TAG DISABLE FUNCTION SECURITY MODEL (RTDFSM) APPROACH", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 8, page no. ppc387-c392, August-2021, Available at : http://www.jetir.org/papers/JETIR2108299.pdf

Publication Details

Published Paper ID: JETIR2108299
Registration ID: 314032
Published In: Volume 8 | Issue 8 | Year August-2021
DOI (Digital Object Identifier):
Page No: c387-c392
Country: Thanjavur, Tamil Nadu, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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