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Image-based Steganography
for Secure Communication
By
Suman Garai
KiiT Deemed-to-be-University
School of Computer Applications
1
Outline
Problem Statement
Technology Used
Wow Factor
End User
Results
Conclusion
GitHub Link
Future Scope
2
Problem Statement
1 —
3
1– There's an increasing demand for covert communication methods in our digital age.
2– Traditional encryption methods can be conspicuous and vulnerable.
3– Embedding data within images without altering their appearance involves distinct technical
intricacies.
With these challenges in mind, let's explore the technological innovations that enable secure
image steganography.
Can Digital Images
Securely Carry
Hidden Messages?
4
Technology Used
2 —
5
Our solution leverages the above, to deliver seamless image processing and an intuitive interface for secure data embedding.
OpenCV for Image Processing (cv2) Tkinter for GUI Interface NumPy for Efficient Array Manipulation Python as a Platform
6
Wow Factor
3 —
7
☑
☑
The intuitive graphical interface simplifies the process of encoding and decoding messages making it accessible to
users of all technical backgrounds.
Optional password encryption enhances security by ensuring only authorized users can decode hidden messages.
Credit (Image): Simplilearn
8
End Users
4 —
9
Cybersecurity
Professionals
For covert communication
and data protection.
Journalists
and Activist
Securely share sensitive
information without detection.
Businesses
Safeguard confidential data within
images to prevent unauthorized access.
General Users
Protect personal messages from
prying eyes in a simple and effective way.
10
Results
5 —
11
For the demonstration, please follow the link embedded above.
12
Conclusion
6 —
13
•
•
•
•
This project successfully
integrates image
steganography with optional
encryption, ensuring secure
message embedding while
preserving image quality. It
combines practical
cryptography with a user-
friendly GUI to deliver an
efficient tool for confidential
communication.
Securely embeds and
retrieves hidden messages.
Leverages robust libraries
(OpenCV, NumPy, Tkinter).
Optional encryption
enhances data protection.
Establishes a base for future
enhancements in file
formats and encryption
techniques.
All assets utilized in the demo, in a frame
14
GitHub Link
7 —
15
Visit the repository by clicking the embedded link. Or by scanning the QR.
16
Future Scope
8 —
17
Credit (left to right): Wired, Allgeier CyRis
•
•
•
•
•
This project lays a strong
foundation in image
steganography with practical
encryption techniques. Looking
ahead, there are several
avenues to enhance
functionality, security, and user
experience.
Support for additional media
types (audio, video)
Integration of advanced
encryption algorithms
Implementation of
automated steganalysis
tools
Optimization for mobile and
web platforms
Incorporation of machine
learning for improved data
embedding
18
ThankYou _
Any Questions ?
19

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Hidden in Plain Sight: Securing Digital Secrets with Image Steganography

  • 1. Image-based Steganography for Secure Communication By Suman Garai KiiT Deemed-to-be-University School of Computer Applications 1
  • 2. Outline Problem Statement Technology Used Wow Factor End User Results Conclusion GitHub Link Future Scope 2
  • 4. 1– There's an increasing demand for covert communication methods in our digital age. 2– Traditional encryption methods can be conspicuous and vulnerable. 3– Embedding data within images without altering their appearance involves distinct technical intricacies. With these challenges in mind, let's explore the technological innovations that enable secure image steganography. Can Digital Images Securely Carry Hidden Messages? 4
  • 6. Our solution leverages the above, to deliver seamless image processing and an intuitive interface for secure data embedding. OpenCV for Image Processing (cv2) Tkinter for GUI Interface NumPy for Efficient Array Manipulation Python as a Platform 6
  • 8. ☑ ☑ The intuitive graphical interface simplifies the process of encoding and decoding messages making it accessible to users of all technical backgrounds. Optional password encryption enhances security by ensuring only authorized users can decode hidden messages. Credit (Image): Simplilearn 8
  • 10. Cybersecurity Professionals For covert communication and data protection. Journalists and Activist Securely share sensitive information without detection. Businesses Safeguard confidential data within images to prevent unauthorized access. General Users Protect personal messages from prying eyes in a simple and effective way. 10
  • 12. For the demonstration, please follow the link embedded above. 12
  • 14. • • • • This project successfully integrates image steganography with optional encryption, ensuring secure message embedding while preserving image quality. It combines practical cryptography with a user- friendly GUI to deliver an efficient tool for confidential communication. Securely embeds and retrieves hidden messages. Leverages robust libraries (OpenCV, NumPy, Tkinter). Optional encryption enhances data protection. Establishes a base for future enhancements in file formats and encryption techniques. All assets utilized in the demo, in a frame 14
  • 16. Visit the repository by clicking the embedded link. Or by scanning the QR. 16
  • 18. Credit (left to right): Wired, Allgeier CyRis • • • • • This project lays a strong foundation in image steganography with practical encryption techniques. Looking ahead, there are several avenues to enhance functionality, security, and user experience. Support for additional media types (audio, video) Integration of advanced encryption algorithms Implementation of automated steganalysis tools Optimization for mobile and web platforms Incorporation of machine learning for improved data embedding 18