High-Dimensional Statistical Supervised Learning For Extracting Information In Steganography
2018 32ND INTERNATIONAL CONFERENCE ON INFORMATION NETWORKING (ICOIN)(2018)
摘要
One of major research topics in digital steganography is the methods which can avoid information loss while the image files experience distortion. The image distortion may lead to the key value distortion, and eventually, it becomes very hard to get correct information from the distorted images. Therefore, this paper proposes a scheme which encodes and decodes the given images with high-dimensional regression-based supervised learning. With this proposed method, several original messages are embedded in a file; and high-dimensional regression-based supervised learning conducts for extracting exact one final message from the several original messages where every single original message is not same with the final message. In this case, if attackers read some messages from the image, it is hard to extract our final message.
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关键词
high-dimensional statistical supervised learning,digital steganography,information loss,image files,image distortion,key value distortion,given images,single original message,information extraction,high-dimensional regression-based supervised learning
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