UGC Approved Journal no 63975(19)

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Published in:

Volume 6 Issue 6
June-2019
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1906N92


Registration ID:
217357

Page Number

282-289

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Title

PERFORMANCE ANALYSIS OF INTERNET TRAFFIC DATA FOR PRECISE RECAPTURING

Abstract

The inference of traffic volume of whole network from partial traffic measurements becomes increasingly critical for various network engineering tasks, such as capacity planning and anomaly detection. Analysis of Network traffic has applications in wide comprehensive set of areas and has newly attracted significant number of studies. Different types of experiments are conducted to identify various problems in existing computer network applications. Internet traffic data analysis is a proactive approach to ensure reliable, secure and qualitative network communication. Various techniques have been proposed and experimented for analyzing internet traffic data including Data mining techniques and Neural Network based techniques. Also various Linear and Non-Linear models have been proposed Network traffic prediction. In this paper we analyze performance of Internet traffic data based on the characteristics of Internet traffic data.

Key Words

Internet traffic data, Data mining

Cite This Article

"PERFORMANCE ANALYSIS OF INTERNET TRAFFIC DATA FOR PRECISE RECAPTURING ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.282-289, June 2019, Available :http://www.jetir.org/papers/JETIR1906N92.pdf

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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

"PERFORMANCE ANALYSIS OF INTERNET TRAFFIC DATA FOR PRECISE RECAPTURING ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp282-289, June 2019, Available at : http://www.jetir.org/papers/JETIR1906N92.pdf

Publication Details

Published Paper ID: JETIR1906N92
Registration ID: 217357
Published In: Volume 6 | Issue 6 | Year June-2019
DOI (Digital Object Identifier):
Page No: 282-289
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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