Cognitive-Based Cover Image Selection in Image Steganography
K N Sangeetha, Usha B. Ajay · Advances in computational intelligence and robotics book series · 2019
The chances of data getting lost while it is being transferred between the sender and receiver is very high these days. Since these data are very sensitive whose security cannot be compromised, there is a need for highly secure systems to transfer the data without compromising the content and the quality. Steganography techniques help us to achieve these objectives. In the present time, various organizations and industries are using cover image arbitrarily. In such cases, it does not provide personalized approach to the whole process of data hiding. Thus, as a result of this limitation, there is motivation to build such an application in which the system selects which image is most suitable for hiding data accordingly. The main algorithm being used here is the regression algorithm which consists of other algorithms like linear regression, decision tree regression. This application also extracts the hidden data from the generated stego image.