Staganalysis of Image files using Deep learning
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- Proposals: 3
- Remote
- #2224491
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Description
Experience Level: Entry
The objective of this project is to analyse image files to check whether there is hidden files or not.
We use the following algorithm to analyse the image files:
1. Least Significant Bit Embeddings (LSB) algorithm
2. Histogram Analysis
3. Chi-square algorithm
4. F5 (Faugere) algorithm
5. Defined algorithm: Improvement on those 4 algorithms above.
If there is hidden file, the algorithm should be able to extract hidden mesage either text or image file and get it out.
Lastly, use Deep Learning to teach the machine what to do for subsequent unknown files.
Attachments:
1. Sample of a demo on steganalysis
2. CleanImages folder(200):- This contain download images files in different formats(.jpg, .bmp, .png, .pgm, etc)
3. StegoImages folder (21):- This contain samples of images with hidden files by using different open source steganography tools to hide them.
Output:
1. Algorithm
2. Pseudocode
3. Java Code
4. Application output.
We use the following algorithm to analyse the image files:
1. Least Significant Bit Embeddings (LSB) algorithm
2. Histogram Analysis
3. Chi-square algorithm
4. F5 (Faugere) algorithm
5. Defined algorithm: Improvement on those 4 algorithms above.
If there is hidden file, the algorithm should be able to extract hidden mesage either text or image file and get it out.
Lastly, use Deep Learning to teach the machine what to do for subsequent unknown files.
Attachments:
1. Sample of a demo on steganalysis
2. CleanImages folder(200):- This contain download images files in different formats(.jpg, .bmp, .png, .pgm, etc)
3. StegoImages folder (21):- This contain samples of images with hidden files by using different open source steganography tools to hide them.
Output:
1. Algorithm
2. Pseudocode
3. Java Code
4. Application output.
Yomi A.
0% (0)Projects Completed
1
Freelancers worked with
1
Projects awarded
67%
Last project
8 Mar 2019
Nigeria
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