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Image steganography viva ques practice

sandeep03edu
Apr 21st, 2023
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  1. Viva questions on Image Steganography
  2.  
  3. Q: What is image steganography?
  4. A: Image steganography is the practice of hiding secret data within an image, without changing the visual appearance of the image.
  5.  
  6. Q: What is QR decomposition in the context of image steganography?
  7. A: QR decomposition can be used in image steganography to embed secret data within the image by modifying the least significant bits of the QR factorization of the image matrix.
  8.  
  9. Q: How is QR decomposition used for image steganography?
  10. A: QR decomposition is used for image steganography by decomposing the image matrix into an orthogonal matrix Q and an upper triangular matrix R. The least significant bits of R are modified to embed the secret data, and then the modified R matrix is combined with the original Q matrix to obtain the steganographic image.
  11.  
  12. Q: How is the secret data embedded in the QR factorization of the image matrix?
  13. A: The secret data is embedded by modifying the least significant bits of the R matrix. The modifications are made in such a way that they do not significantly affect the visual appearance of the image.
  14.  
  15. Q: What is the advantage of using QR decomposition for image steganography?
  16. A: The advantage of using QR decomposition for image steganography is that it does not require significant changes to the image, making it difficult for an observer to detect that steganography has been used.
  17.  
  18. Q: How can the secret data be extracted from the steganographic image?
  19. A: The secret data can be extracted from the steganographic image by performing QR decomposition on the modified image matrix and extracting the least significant bits of the R matrix.
  20.  
  21. Q: What are some limitations of image steganography using QR decomposition?
  22. A: Some limitations of image steganography using QR decomposition include the limited amount of secret data that can be embedded, the potential for the embedded data to be corrupted or lost during image compression or processing, and the potential for detection by sophisticated image analysis algorithms.
  23.  
  24. Q: How does image steganography using QR decomposition compare to other steganographic techniques?
  25. A: Image steganography using QR decomposition has the advantage of being relatively simple and effective, but it may not be as secure as other techniques such as encryption-based steganography or frequency domain steganography.
  26.  
  27.  
  28. Q: What is image steganography?
  29. A: Image steganography is the technique of hiding secret data within an image in such a way that it is not visible or apparent to the human eye.
  30.  
  31. Q: What is QR decomposition?
  32. A: QR decomposition is a factorization of a matrix into a product of an orthogonal matrix and an upper triangular matrix.
  33.  
  34. Q: How can QR decomposition be used for image steganography?
  35. A: QR decomposition can be used for image steganography by hiding secret data within the least significant bits of the QR factorization of an image.
  36.  
  37. Q: What is the least significant bit (LSB)?
  38. A: The least significant bit (LSB) is the rightmost bit of a binary number and has the least value. In an 8-bit binary number, the LSB is the first bit on the right.
  39.  
  40. Q: How can QR decomposition be used to hide data in an image?
  41. A: QR decomposition can be used to hide data in an image by modifying the least significant bits of the QR factorization of the image. The secret data can be embedded in the least significant bits of the lower triangular matrix R, while the orthogonal matrix Q remains unchanged.
  42.  
  43. Q: How can the hidden data be retrieved from the steganographic image?
  44. A: The hidden data can be retrieved from the steganographic image by performing QR decomposition on the image to obtain the modified lower triangular matrix R, from which the embedded data can be extracted by reading the least significant bits.
  45.  
  46. Q: What are the advantages of using QR decomposition for image steganography?
  47. A: The advantages of using QR decomposition for image steganography include robustness to image processing operations such as cropping and rotation, and low perceptibility of the hidden data.
  48.  
  49. Q: What are the limitations of using QR decomposition for image steganography?
  50. A: The limitations of using QR decomposition for image steganography include limited capacity for embedding data, and vulnerability to attacks that specifically target the least significant bits.
  51.  
  52. Q: What are some applications of image steganography?
  53. A: Some applications of image steganography include secure communication, digital watermarking, and copyright protection.
  54.  
  55. Q: What is image steganography?
  56. A: Image steganography is the technique of hiding a secret message within an image in such a way that the message is invisible to the human eye.
  57.  
  58. Q: How does QR decomposition play a role in image steganography?
  59. A: QR decomposition can be used to hide a secret message within an image by modifying the least significant bits of the matrix elements in the lower triangular matrix of the QR decomposition of the image.
  60.  
  61. Q: How does modifying the least significant bits of the lower triangular matrix hide a secret message in the image?
  62. A: Modifying the least significant bits of the lower triangular matrix changes the matrix elements by a small amount that is imperceptible to the human eye, but can be used to encode a secret message in binary form.
  63.  
  64. Q: How is the secret message extracted from the steganographic image?
  65. A: The secret message can be extracted from the steganographic image by performing QR decomposition on the modified image, and extracting the least significant bits of the elements in the lower triangular matrix.
  66.  
  67. Q: What are the advantages of using QR decomposition for image steganography?
  68. A: The advantages of using QR decomposition for image steganography are that it allows for high hiding capacity, low distortion of the image, and robustness against common image processing operations.
  69.  
  70. Q: Can QR decomposition be used for steganography in other types of data besides images?
  71. A: Yes, QR decomposition can be used for steganography in other types of data besides images, such as audio and video.
  72.  
  73. Q: What are some potential applications of QR-based steganography?
  74. A: Potential applications of QR-based steganography include secure communication, digital watermarking, and copyright protection.
  75.  
  76. Q: What are some limitations of QR-based steganography?
  77. A: Limitations of QR-based steganography include the need for large images to achieve high hiding capacity, the possibility of detection by advanced steganalysis techniques, and the potential for corruption or loss of the hidden message due to image compression or transmission errors.
  78.  
  79. Q: Can QR-based steganography be used for malicious purposes?
  80. A: Yes, QR-based steganography can be used for malicious purposes, such as hiding malware or other malicious code within an image. It is important to use steganography responsibly and ethically.
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