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ThinkMind // PATTERNS 2017, The Ninth International Conferences on Pervasive Patterns and Applications // View article patterns_2017_1_20_70006
Detection of Hidden Encrypted URL In Image Steganography
 Authors:
Moudhi Aljamea
Tanver Athar
Costas Iliopoulos
Mohammad Samiruzzaman Keywords: Steganography; Image Steganography; Security; String Matching; Steganalysis; URL Detection 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. Pages: 3 to 8 Copyright: Copyright (c) IARIA, 2017 Publication date: February 19, 2017 Published in: conference ISSN: 2308-3557 ISBN: 978-1-61208-534-0 Location: Athens, Greece Dates: from February 19, 2017 to February 23, 2017
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