Enhanced and secured hybrid steganography model for hiding large data
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.
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Brac University
2023
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| Sarrera elektronikoa: | http://hdl.handle.net/10361/21941 |
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10361-21941 |
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10361-219412023-12-10T21:02:31Z Enhanced and secured hybrid steganography model for hiding large data Majumder, Srabony Tanu, Mohon Dash Faisal, S. M. Fahim Sristy, Mumtahinah Rahman Paul, Rigan Hossain, Muhammad Iqbal Department of Computer Science and Engineering, Brac University Steganography Text Image AES MLSB LSB Stego PSNR SSIM MSE Encoder-decoder Encryption-decryption hybrid Computer security Data protection Cryptography Database management This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023. Cataloged from PDF version of thesis. Includes bibliographical references (page 45). Recent works on steganography basically are focused on various network layers and multiple data-hiding techniques. These researches lead to image manipula- tion, contortion and small-scale payload. This paper proposes a new dimension of the steganography model by merging the techniques of hiding texts and images. In- stead of hiding only one type of data this proposed model is focusing on veiling two types of data (first text and then image) by masking one data (text) into another stego data (image) and then covering them both into a cover image. This model ensures a minimal peak-signal-to-noise ratio (PSNR) and no noise. This will be a model of suppressing more data in a stego container for one cover image using AES, MLSB and LSB respectively. This also should increase the payload capacity of em- bedding images through the steganographic system architecture with recognition. Here, we have used a pair of encoders and decoders for encryption and decryption to take two inputs and generate one hybrid output. The reverse of the encryption process will do the work for decrypting and decoding particular cryptic data. The AES (Advanced Encryption Standard) algorithm and LSB (Least Significant Bit) have been used to ensure our proposed model’s accuracy and effectiveness. More- over, using a modified 16-bit key is ensuring the safety of any confidential data of the user. It also accomplishes better execution by using ImageNet datasets. This model will expand and escalate the safety mechanism of steganography for concealing a larger amount of hybrid data. Furthermore, it can decide how many bits need to be changed in LSB depending on the length of the text that has to be encrypted in the host image. It is a hierarchy of two steganographic and one encrypt model. Last but not least, it makes certain of a distortion-free process where retrieving data after successfully concealing it is fruitful depending on higher accuracy, SSIM, PSNR and lower MSE. Srabony Majumder Mohon Dash Tanu S. M. Fahim Faisal Mumtahinah Rahman Sristy Rigan Paul B.Sc. in Computer Science and Engineering 2023-12-10T06:17:12Z 2023-12-10T06:17:12Z 2023 2023-05 Thesis ID 19101326 ID 19301184 ID 19301186 ID 19301169 ID 19301129 http://hdl.handle.net/10361/21941 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 45 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Steganography Text Image AES MLSB LSB Stego PSNR SSIM MSE Encoder-decoder Encryption-decryption hybrid Computer security Data protection Cryptography Database management |
| spellingShingle |
Steganography Text Image AES MLSB LSB Stego PSNR SSIM MSE Encoder-decoder Encryption-decryption hybrid Computer security Data protection Cryptography Database management Majumder, Srabony Tanu, Mohon Dash Faisal, S. M. Fahim Sristy, Mumtahinah Rahman Paul, Rigan Enhanced and secured hybrid steganography model for hiding large data |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023. |
| author2 |
Hossain, Muhammad Iqbal |
| author_facet |
Hossain, Muhammad Iqbal Majumder, Srabony Tanu, Mohon Dash Faisal, S. M. Fahim Sristy, Mumtahinah Rahman Paul, Rigan |
| format |
Thesis |
| author |
Majumder, Srabony Tanu, Mohon Dash Faisal, S. M. Fahim Sristy, Mumtahinah Rahman Paul, Rigan |
| author_sort |
Majumder, Srabony |
| title |
Enhanced and secured hybrid steganography model for hiding large data |
| title_short |
Enhanced and secured hybrid steganography model for hiding large data |
| title_full |
Enhanced and secured hybrid steganography model for hiding large data |
| title_fullStr |
Enhanced and secured hybrid steganography model for hiding large data |
| title_full_unstemmed |
Enhanced and secured hybrid steganography model for hiding large data |
| title_sort |
enhanced and secured hybrid steganography model for hiding large data |
| publisher |
Brac University |
| publishDate |
2023 |
| url |
http://hdl.handle.net/10361/21941 |
| work_keys_str_mv |
AT majumdersrabony enhancedandsecuredhybridsteganographymodelforhidinglargedata AT tanumohondash enhancedandsecuredhybridsteganographymodelforhidinglargedata AT faisalsmfahim enhancedandsecuredhybridsteganographymodelforhidinglargedata AT sristymumtahinahrahman enhancedandsecuredhybridsteganographymodelforhidinglargedata AT paulrigan enhancedandsecuredhybridsteganographymodelforhidinglargedata |
| _version_ |
1814306846781997056 |