Steganography and steganalysis based on machine learning
Steganography is a technology for information hiding. Combining stenography and cryptography together, it is possible to improve the information security. The purpose of this study is to investigate which steganography technique is good, and how much information we can embed to a given medium, to ensure the security. For this purpose, we use methods developed in machine learning, and try to recognition the natural media and those embedded with some information. Results obtained will be important for us to propose new and better steganography techniques. By joining this project, the students can learn technologies related to image processing, image recognition, pattern recognition, cryptography and steganography. We believe that these technologies are useful for the students in their feature work.