Improved Protection in Image Steganography using Neural Network and Discrete Cosine Transform

Provided by: International Journal of Application or Innovation in Engineering & Management (IJAIEM)
Topic: Security
Format: PDF
The important concern of modern communication is to establish secret communication and is achieved by steganography. It comes under the assumption that if the feature is visible, the point of attack is evident, thus the all time goal is to conceal the very existence of the embedded data. Many techniques have been suggested to hide data but security is one of the major challenges. In the proposed method this issue has been addressed using Discrete Cosine Transform (DCT) and neural network. Using Discrete Cosine Transform (DCT), input image is divided into blocks and is processed to generate quantization matrix of cover and stego images.

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