LSB based Image Steganography by using the Fast Marching Method
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2019, Vol 10, Issue 3
Abstract
This paper presents a novel approach for image steganography based on the Least Significant Bit (LSB) method. Most traditional LSB methods choose the initial embedding location of the cover image randomly, and the secret messages are embedded sequentially without considering the image pixels’ values and positions. Our approach utilizes the user-selected seeds in the cover image to avoid the smooth/flat areas where cause a higher detection rate. Then the fast marching method is used to calculate T (the time of arrival of the front of the seeds) and propagate the seeds by computational dynamics. The front propagation process decides the embedding positions of the secret messages. The same algorithm can be used to retrieve the hidden information as well. The coordinates of the seeds are used as the shared key only known to the sender and receiver to add additional security protection. Peak Signal to Noise Ratio (PSNR) is evaluated to measure the quality of resulting images. The experiments show that the proposed approach generates results with high payload capacity and satisfied imperceptibility.
Authors and Affiliations
Xiaoli Huan, Hong Zhou, Jiling Zhong
Keywords
Related Articles
- EP ID EP498342
- DOI 10.14569/IJACSA.2019.0100301
- Views 98
- Downloads 0
A Novel Scheme for Address Assignment in Wireless Sensor Networks
Assigning network addresses to nodes in a wireless sensor network is a crucial task that has implications for the functionality, scalability, and performance of the network. Since sensor nodes generally have scarce resou...
Generation of Sokoban Stages using Recurrent Neural Networks
Puzzles and board games represent several important classes of AI problems, but also represent difficult complexity classes. In this paper, we propose a deep learning based alternative to train a neural network model to...
Real Time Analysis of Crowd Behaviour for Automatic and Accurate Surveillance
Surveillance in this modern era is a necessity. Creating an alert in case of emergencies and disturbances is of very much importance. As the number of simultaneous camera feeds increase, burden on human supervisor also i...
RKE-CP: Response-based Knowledge Extraction from Collaborative Platform of Text-based Communication
With the generation of massive amount of product-centric responses from existing applications on collaborative platform, it is necessary to perform a discrete analytical operation on it. As majority of such responses are...
Exploring Identifiers of Research Articles Related to Food and Disease using Artificial Intelligence
Currently hundreds of studies in the literature have shown the link between food and reducing the risk of chronic diseases. This study investigates the use of natural language processing and artificial intelligence techn...