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The Proposal Details
DATA HIDING USING RANDOM PERMUTATION AND DETECTION WITH IMAGE QUALITY MEASURES
Security
Image Steganography is defined as hiding a secret message within an image in such a way that others cannot discern the presence or contents of the hidden message. Steganalysis has recently received a great deal of attention both from law enforcement and the media. In the project, a data hiding technique can be presented using Least Significant Bit (LSB) Insertion and for detecting, the Image Quality Metrics (IQMs)is chosen, to distinguish between cover-images and stego-images. To provide additional security, an encryption and decryption algorithm is included before using LSB Insertion. The classifier between cover and stego-images obtained from the LSB technique is built using the selected Image Quality Metrics (IQMs) and is trained based on an estimate of the original image.
The new approach is to implement the Randomized Least Significant Bit (RLSB) insertion technique. This technique also includes the Simple Columnar Transposition technique with multiple rounds (SCTMR), which adds more complexity for the cryptanalyst. This is to change the order of the hidden message ‘s binary format and store it randomly. It has been proposed three layers of security for hiding the message inside the image such that the Steganalyst even detecting the message in the stego-image may not able to decrypt the secret information hidden.