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An Improved Steganographic Scheme Using the Contour Principle to Ensure the Privacy of Medical Data on Digital Images

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Computer Systems Science & Engineering 2023年第8期46卷 1563-1576页

作者： R.Bala Krishnan D.Yuvaraj P.Suthanthira Devi Varghese S.Chooralil N.Rajesh Kumar B.Karthikeyan G.Manikandan srinivasa ramanujan centre sastra deemed universitykumbakonamtamil naduindia department of computer science cihan university–duhokkurdistan regioniraq department of information technology st.joseph’s college of engineeringchennaitamil naduindia department of computer science&engineering rajagiri school of engineering&technologykakkanadkeralaindia school of computing sastra deemed universitythanjavurtamil naduindia

With the improvement of current online communication schemes,it is now possible to successfully distribute and transport secured digital content via the communication channel at a faster transmission *** steganography and cryptography concepts are used to achieve the goal of concealing secret content on a media and encrypting it before *** of the techniques mentioned above aid in the confidentiality of feature *** proposed approach concerns secret content embodiment in selected pixels on digital image layers such as Red,Green,and *** private content originated from a medical client and was forwarded to a medical practitioner on the server end through the *** K-Means clustering principle uses the contouring approach to frame the pixel clusters on the image *** content embodiment procedure is performed on the selected pixel groups of all layers of the image using the Least Significant Bit(LSB)substitution technique to build the secret content embedded image known as the stego image,which is subsequently transmitted across the internet medium to the server *** experimental results are computed using the inputs from“Open-Access Medical Image Repositories(***)”and demonstrate the scheme’s impudence as the content concealing procedure progresses.

关键词： Contouring secret content embodiment least significant bit embedding medical data preservation secret content congregation pixel clustering

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