Abstract
Steganography is the science of hiding data within the data, either for the good purpose of secret communication or for the bad intention of leaking confidential data, embedding malicious code or Uniform Resource Locator (URL). Various carrier file formats can be used to hide this data (network, audio, image etc.). The most common steganography carrier is embedding secret data within images. We can hide different formats (another image, text, video, virus, URL etc.) inside an image. To the human eye, the changes in the image appearance with the hidden data can be imperceptible. This paper proposes an implementation of a novel detection approach that will concentrate on detecting any kind of hidden URL in most types of images and extract the hidden URL from the carrier image using the Least Significant Bit (LSB) hiding technique. We have recently introduced an algorithm for Detection of URL in Image steganography. In addition, we have extended the algorithm to detect and extract encrypted URLs. In this paper, implement the proposed algorithm, successfully test it and compare it with various results, using different images.
| Original language | English |
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| Title of host publication | PATTERNS 2017 |
| Place of Publication | Athens, Greece |
| Publisher | IARIA |
| Pages | 3-8 |
| Number of pages | 6 |
| ISBN (Electronic) | 978-1-61208-534-0 |
| Publication status | Published - 19 Feb 2017 |