Steganalysis Using KL Transform and Radial Basis Neural Network
The essential problem in the security field is how to detect information hiding. This paper proposes a new steganalysis scheme based on artificial neural network as a classifier to detect information hiding in colored and grayscale images. The statistical features extracted from Karhunen-Loève (KL)...
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| Format: | Article |
| Language: | English |
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Mosul University
2012-07-01
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| Series: | Al-Rafidain Journal of Computer Sciences and Mathematics |
| Subjects: | |
| Online Access: | https://csmj.mosuljournals.com/article_163670_da09ae23de117b261893e9548659de81.pdf |
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| _version_ | 1850164323578544128 |
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| author | Safwan Hasoon Farhad Khalifa |
| author_facet | Safwan Hasoon Farhad Khalifa |
| author_sort | Safwan Hasoon |
| collection | DOAJ |
| description | The essential problem in the security field is how to detect information hiding. This paper proposes a new steganalysis scheme based on artificial neural network as a classifier to detect information hiding in colored and grayscale images. The statistical features extracted from Karhunen-Loève (KL) transform coefficients obtained from co-occurrence matrix of image. Then radial basis neural network (RBNN) trained using these features to discriminate whether the image contains hidden information or not. This system can be used to prevent the suspicious secret communication. |
| format | Article |
| id | doaj-art-f2764fb2fead4dfd8406cc4836da01fe |
| institution | OA Journals |
| issn | 1815-4816 2311-7990 |
| language | English |
| publishDate | 2012-07-01 |
| publisher | Mosul University |
| record_format | Article |
| series | Al-Rafidain Journal of Computer Sciences and Mathematics |
| spelling | doaj-art-f2764fb2fead4dfd8406cc4836da01fe2025-08-20T02:22:01ZengMosul UniversityAl-Rafidain Journal of Computer Sciences and Mathematics1815-48162311-79902012-07-0191475810.33899/csmj.2012.163670163670Steganalysis Using KL Transform and Radial Basis Neural NetworkSafwan Hasoon0Farhad Khalifa1College of Computer Sciences and Mathematics University of MosulCollege of Computer Sciences and Mathematics University of MosulThe essential problem in the security field is how to detect information hiding. This paper proposes a new steganalysis scheme based on artificial neural network as a classifier to detect information hiding in colored and grayscale images. The statistical features extracted from Karhunen-Loève (KL) transform coefficients obtained from co-occurrence matrix of image. Then radial basis neural network (RBNN) trained using these features to discriminate whether the image contains hidden information or not. This system can be used to prevent the suspicious secret communication.https://csmj.mosuljournals.com/article_163670_da09ae23de117b261893e9548659de81.pdfstegnoanalysisneural networksteganography |
| spellingShingle | Safwan Hasoon Farhad Khalifa Steganalysis Using KL Transform and Radial Basis Neural Network Al-Rafidain Journal of Computer Sciences and Mathematics stegnoanalysis neural network steganography |
| title | Steganalysis Using KL Transform and Radial Basis Neural Network |
| title_full | Steganalysis Using KL Transform and Radial Basis Neural Network |
| title_fullStr | Steganalysis Using KL Transform and Radial Basis Neural Network |
| title_full_unstemmed | Steganalysis Using KL Transform and Radial Basis Neural Network |
| title_short | Steganalysis Using KL Transform and Radial Basis Neural Network |
| title_sort | steganalysis using kl transform and radial basis neural network |
| topic | stegnoanalysis neural network steganography |
| url | https://csmj.mosuljournals.com/article_163670_da09ae23de117b261893e9548659de81.pdf |
| work_keys_str_mv | AT safwanhasoon steganalysisusingkltransformandradialbasisneuralnetwork AT farhadkhalifa steganalysisusingkltransformandradialbasisneuralnetwork |