Secure and efficient data transmission by video steganography in medical imaging system
Normally, steganography is used to increase the security during data transmission. While medial data transfer from one hospital to another hospital, video steganography in medical imaging system increases the security level. Steganography system mainly focuses and verifies the information confidenti...
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Veröffentlicht in: | Cluster computing 2019-03, Vol.22 (Suppl 2), p.4057-4063 |
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description | Normally, steganography is used to increase the security during data transmission. While medial data transfer from one hospital to another hospital, video steganography in medical imaging system increases the security level. Steganography system mainly focuses and verifies the information confidentiality, integrity and authenticity. Steganography algorithm in medical imaging system mainly focused on other than the doctor diagnosis area because diagnosis area must not be affected. Based on this, this paper presents video steganography in medical imaging system to provide confidentiality, authenticity and integrity during medical data transfer. Motion attention index value and variation range is calculated from selected frame in a video and human vision region of interest is chosen based on motion attention index value and variation range. With respect to human vision region of interest, foreground and background object is detected in a video. Then face detection algorithm is applied to detect moving object in a video. Secret information is hiding in background object and, other than the face area of the foreground object. The experimental analysis shows that increases embedding capacity rate and decreases the detectable distortion. |
doi_str_mv | 10.1007/s10586-018-2639-4 |
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Nelson Kennedy ; Amudha, K.</creator><creatorcontrib>Balu, S. ; Babu, C. Nelson Kennedy ; Amudha, K.</creatorcontrib><description>Normally, steganography is used to increase the security during data transmission. While medial data transfer from one hospital to another hospital, video steganography in medical imaging system increases the security level. Steganography system mainly focuses and verifies the information confidentiality, integrity and authenticity. Steganography algorithm in medical imaging system mainly focused on other than the doctor diagnosis area because diagnosis area must not be affected. Based on this, this paper presents video steganography in medical imaging system to provide confidentiality, authenticity and integrity during medical data transfer. Motion attention index value and variation range is calculated from selected frame in a video and human vision region of interest is chosen based on motion attention index value and variation range. With respect to human vision region of interest, foreground and background object is detected in a video. Then face detection algorithm is applied to detect moving object in a video. Secret information is hiding in background object and, other than the face area of the foreground object. 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Nelson Kennedy</creatorcontrib><creatorcontrib>Amudha, K.</creatorcontrib><title>Secure and efficient data transmission by video steganography in medical imaging system</title><title>Cluster computing</title><addtitle>Cluster Comput</addtitle><description>Normally, steganography is used to increase the security during data transmission. While medial data transfer from one hospital to another hospital, video steganography in medical imaging system increases the security level. Steganography system mainly focuses and verifies the information confidentiality, integrity and authenticity. Steganography algorithm in medical imaging system mainly focused on other than the doctor diagnosis area because diagnosis area must not be affected. Based on this, this paper presents video steganography in medical imaging system to provide confidentiality, authenticity and integrity during medical data transfer. Motion attention index value and variation range is calculated from selected frame in a video and human vision region of interest is chosen based on motion attention index value and variation range. With respect to human vision region of interest, foreground and background object is detected in a video. Then face detection algorithm is applied to detect moving object in a video. Secret information is hiding in background object and, other than the face area of the foreground object. The experimental analysis shows that increases embedding capacity rate and decreases the detectable distortion.</description><subject>Algorithms</subject><subject>Computer Communication Networks</subject><subject>Computer Science</subject><subject>Cryptography</subject><subject>Data encryption</subject><subject>Data transfer (computers)</subject><subject>Data transmission</subject><subject>Diagnosis</subject><subject>Face recognition</subject><subject>Hospitals</subject><subject>Integrity</subject><subject>Medical imaging</subject><subject>Moving object recognition</subject><subject>Operating Systems</subject><subject>Processor Architectures</subject><subject>Security</subject><subject>Steganography</subject><subject>Video transmission</subject><issn>1386-7857</issn><issn>1573-7543</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp1kE1LxDAQhoMouK7-AG8Bz9V8tUmOsvgFggcVjyFNpjXLbromXaH_3iwVPMkcZmDe953hQeiSkmtKiLzJlNSqqQhVFWu4rsQRWtBa8krWgh-XmZetVLU8RWc5rwkhWjK9QB-v4PYJsI0eQ9cFFyCO2NvR4jHZmLch5zBE3E74O3gYcB6ht3Hok919TjhEvAUfnN3gsLV9iD3OU5Fsz9FJZzcZLn77Er3f372tHqvnl4en1e1z5ThtxoprxbgFX_NGOSk5CJCcCed57RvJrCKtKKUc8YQDAd02ndCdo7oVnfSML9HVnLtLw9ce8mjWwz7FctIwTRVjVDJSVHRWuTTknKAzu1T-TZOhxBz4mZmfKfzMgZ8RxcNmTy7a2EP6S_7f9AMzqHOU</recordid><startdate>20190301</startdate><enddate>20190301</enddate><creator>Balu, S.</creator><creator>Babu, C. 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Nelson Kennedy</au><au>Amudha, K.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Secure and efficient data transmission by video steganography in medical imaging system</atitle><jtitle>Cluster computing</jtitle><stitle>Cluster Comput</stitle><date>2019-03-01</date><risdate>2019</risdate><volume>22</volume><issue>Suppl 2</issue><spage>4057</spage><epage>4063</epage><pages>4057-4063</pages><issn>1386-7857</issn><eissn>1573-7543</eissn><abstract>Normally, steganography is used to increase the security during data transmission. While medial data transfer from one hospital to another hospital, video steganography in medical imaging system increases the security level. Steganography system mainly focuses and verifies the information confidentiality, integrity and authenticity. Steganography algorithm in medical imaging system mainly focused on other than the doctor diagnosis area because diagnosis area must not be affected. Based on this, this paper presents video steganography in medical imaging system to provide confidentiality, authenticity and integrity during medical data transfer. Motion attention index value and variation range is calculated from selected frame in a video and human vision region of interest is chosen based on motion attention index value and variation range. With respect to human vision region of interest, foreground and background object is detected in a video. Then face detection algorithm is applied to detect moving object in a video. Secret information is hiding in background object and, other than the face area of the foreground object. The experimental analysis shows that increases embedding capacity rate and decreases the detectable distortion.</abstract><cop>New York</cop><pub>Springer US</pub><doi>10.1007/s10586-018-2639-4</doi><tpages>7</tpages></addata></record> |
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subjects | Algorithms Computer Communication Networks Computer Science Cryptography Data encryption Data transfer (computers) Data transmission Diagnosis Face recognition Hospitals Integrity Medical imaging Moving object recognition Operating Systems Processor Architectures Security Steganography Video transmission |
title | Secure and efficient data transmission by video steganography in medical imaging system |
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