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

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Published Paper ID:
JETIR2309443


Registration ID:
525204

Page Number

e357-e364

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Title

Secure Communication using Steganography and Machine Learning

Abstract

Machine learning techniques have advanced in our modern world and have improved the ease, efficiency, and security of a much of our lives. The main priority is always security. We have to provide a protection for the private data to be able to ensure the safe transmission of any existing confidential information. However, hackers will always find a technique to breach the security barrier. Therefore, it is going to be safe to employ additional security measures to safeguard the system. The more security measures in place, the harder it will be for hackers or other intruders to breach the perimeter. Here we provide a system called steganography. Through the utilization of a secret key, users of the program can insert a concealed information into a chosen media. Here the chosen media acts as a carrier media. Steganography is divided into three categories, image, audio and video steganography. An existing secret information can be encrypted and decrypted by the user. Bit slicing technique used to transform the carrier material into bit planes. The least significant bit of the carrier media is replaced with transformed bit format of text utilizing the LSB (Least significant bit) algorithm following bit plane conversion. By uploading the stego media that has been received and inputting the right secret key, the recipient is able to decode the information that has been encrypted. Our design meets any of the given operational criteria, is user friendly, and is straight forwardly directed.

Key Words

Encrypt, Decrypt, Steganography, Security, LSB (Least Significant Bit)

Cite This Article

"Secure Communication using Steganography and Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 9, page no.e357-e364, September-2023, Available :http://www.jetir.org/papers/JETIR2309443.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

"Secure Communication using Steganography and Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 9, page no. ppe357-e364, September-2023, Available at : http://www.jetir.org/papers/JETIR2309443.pdf

Publication Details

Published Paper ID: JETIR2309443
Registration ID: 525204
Published In: Volume 10 | Issue 9 | Year September-2023
DOI (Digital Object Identifier):
Page No: e357-e364
Country: BANGALORE, KARNATAKA, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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