Steganography Using Kmeans Clustering Algorithm
Ambe Nelsa Flora, C. Umarani · Journal of Emerging Technologies and Innovative Research · 2021
The growth of high speed computer networks and particularly that of the internet has increased the ease of communication and transfer of data. The down sight of this discovery is the fear of getting ones data snooped or intruded during the time of transfer from one person or group of people to another. Many people forget that, just as the growth in internet, so has the growth is many attack techniques which are aimed at stealing and destroying these data. Data is an important aspect of every organisation so it needs to be protected at all cost. To combat these attacks and attackers, many security methods have been introduced. In all the many security measures employed, steganography stands out and is one of the most common methods of securing data to be transferred through the internet. Steganography is the method of stowing away classified information inside any media. Steganography involves hiding of text, image or any sensitive information inside another image, video or audio in such a way that an attacker will not be able to detect its presence. In this paper, we propose a technique where a sample data is first clustered using a clustering algorithm known as kmeans clustering algorithm and then the output of the clustering is then hidden using image steganography to provide a security layer to that data.