A SECURE METHOD FOR HIDING SECRET DATA ON CUBISM IMAGE USING HYBRID FEATURE DETECTION METHOD

Vinsa Varghese, Ragesh G.K

Abstract: Data Hiding is a method that hide confidential data in a cover medium so that it can be kept as most secure. This secure data hiding method consists of two types of information, a set of secret information that is to be embedded and a set of the cover medium in which the information is kept. The main aim of data hiding is to keep the data as secure as possible and also to protect from the hackers. Data can be hided in various domains such as text, audio, video and on images. The significant importance in which the images are used for data hiding is that the human beings are very weak in analyzing the small color changes .Data can be kept secure in medical images, aerial images, texture images and also on art images. Aesthetic data hiding is a new form of data hiding by the use of art image generated by some art image generation algorithm. People are attracted by the art image and thus they are not noticed about the hidden data. Thus data can be kept more securely. Cubism images are a type of paintings in which they are formed by analyzing an image or objects from multiple viewpoints. Cubism paintings are composed of intersecting line segments and various regions from different viewpoints. Line-Based Cubism Art image is created based on the concepts of cubism art. Data Hiding and lossless recovery is carried out with security measures. Secret Data is embedded using the Hybrid Feature Detection Method; Two Component LSB Substitution for edge areas and Adaptive LSB Substitution for smooth areas. Randomization of the data string that is to be embedded and Randomization of the regions is done in order to improve security. AES Encryption is also used to provide security against attacks. The Proposed method achieved improved capacity and better resistance to various Steganalysis attacks like Histogram Analysis and Chi-Square Attack.

Keywords: Two Component LSB, Adaptive LSB, AES Encryption, Steganalysis, Chi-Square attack, Histogram Analysis

DOI: https://doi.org/10.15623/ijret.2014.0327008