UGC Approved Journal no 63975(19)

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

Volume 8 Issue 5
May-2021
eISSN: 2349-5162

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

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Unique Identifier

Published Paper ID:
JETIR2105822


Registration ID:
309990

Page Number

g185-g190

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Title

Steganography Using Kmeans Clustering Algorithm

Abstract

The growth of high speed computer networks and particularly that of the internet has increased the ease of communication and transfer of data. The down sight of this discovery is the fear of getting ones data snooped or intruded during the time of transfer from one person or group of people to another. Many people forget that, just as the growth in internet, so has the growth is many attack techniques which are aimed at stealing and destroying these data. Data is an important aspect of every organisation so it needs to be protected at all cost. To combat these attacks and attackers, many security methods have been introduced. In all the many security measures employed, steganography stands out and is one of the most common methods of securing data to be transferred through the internet. Steganography is the method of stowing away classified information inside any media. Steganography involves hiding of text, image or any sensitive information inside another image, video or audio in such a way that an attacker will not be able to detect its presence. In this paper, we propose a technique where a sample data is first clustered using a clustering algorithm known as kmeans clustering algorithm and then the output of the clustering is then hidden using image steganography to provide a security layer to that data.

Key Words

Security, Steganography, Kmeans, Clustering, Centroids

Cite This Article

"Steganography Using Kmeans Clustering Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 5, page no.g185-g190, May-2021, Available :http://www.jetir.org/papers/JETIR2105822.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

"Steganography Using Kmeans Clustering Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 5, page no. ppg185-g190, May-2021, Available at : http://www.jetir.org/papers/JETIR2105822.pdf

Publication Details

Published Paper ID: JETIR2105822
Registration ID: 309990
Published In: Volume 8 | Issue 5 | Year May-2021
DOI (Digital Object Identifier):
Page No: g185-g190
Country: Bangalore, Karnataka, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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