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SteGSIGN: A Digital Image Authentication Model Using Steganography and AES Encryption


Author(s):

Ajmal Basheer , Amal Jyothi College of Engineering; Joe N Sabu, Amal Jyothi College of Engineering; Jomy Jose, Amal Jyothi College of Engineering; Dona Reetha Dominic, Amal Jyothi College of Engineering; Syam Gopi, Amal Jyothi College of Engineering

Keywords:

Steganography, LSB, Authentication, AES Algorithm, Security

Abstract:

Nowadays people use social networking websites like WhatsApp, Facebook and Instagram to share their life moments and events via images and videos. These popular Social apps also present many risks. At present, these social networking websites are not bound by stringent privacy and copyright laws. Images once shared on such networks can be easily downloaded by miscreants. Recently there have been several reports of private pictures of people being shared and spread in such sites. Currently tracking such photos is a hideous task. Validation of the ownership of these images is practically impossible due to high degree of replication. The authorities would have to check the server logs to find out the culprits in such cases. This paper proposes a digital image encryption system based on Steganography (using LSB 1 bit technique) combined with AES encryption. Using this technique, secret data related to the owner of the image and other users who handle the image gets embedded within the image without affecting the visual quality of the image. These details can only be retrieved by authorized party, by decoding the image. Experimental details prove that the visual quality of the images is not affected even after repeatedly encoding the image.

Other Details:

Manuscript Id :J4RV2I3023
Published in :Volume : 2, Issue : 3
Publication Date: 01/06/2016
Page(s): 40-44
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The ISSN Number of Journal Is

2395 - 7549

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ISSN :

2395 - 7549

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