Multimedia Concealed Data Detection Using Quantitative Steganalysis

In current days, there is a constant evolution in modern technology. The most predominant usage of technology by society is the internet. There are many ways and means on the internet through which data is transmitted. Having such rapid and fast growth of communicating media also increases the exposure to security threats, causing unintellectual information ingress. Steganography is the main aspect of communicating in an aspect that hides the extent of communication. Steganalysis is another essential concern in data concealing, which is the art of identifying the existence of steganography. A framework has been designed to identify the concealed data in the multimedia file in the proposed system. This work's main strength is analyzing concealed data images without embedding and extracting the image's payloads. A quantitative steganalysis approach was considered to accomplish the proposed objective. By using this approach, the results were achieved with 98% accuracy.

Stego key recovery method for F5 steganography with matrix encoding

When embedding secret message into image by steganography with matrix encoding, there are still no effective methods to recover the stego key because it is difficult to statistically distinguish the stego coefficient sequences selected by true and false keys. Therefore, this paper proposes a method for recovering the stego key of a typical JPEG (Joint Photographic Experts Group) image steganography—F5 which composes of the check matrix and shuffling key. Firstly, the check matrix is recovered based on the embedding ratio estimated by quantitative steganalysis. The shuffling key is then recovered based on the distribution difference between the bit sequences extracted by the true and false shuffling keys. Additionally, the cardinality of the shuffling key space is significantly reduced by examining the extracted encoding parameter and message length. Experimental results show that the proposed method can recover the stego key accurately and efficiently, even when the existing Xu’s method fails for the high or very low embedding ratio.

A Safe Image Steganography for Verbal Communication through Information Activity in Digital Pictures

Steganography is with the intention of the art and science of writing secreted messages in such with the aim of nobody excluding the dispatcher and supposed recipient, suspects the existence of the message. We tend to tend to are constructing Associate in Nursing implementing a fresh algorithm supported activity an oversized amount of information (image, audio, text) file into color BMP image. We have been used adaptive image filtering and adaptive image segmentation with bits replacement on the suitable pixels. These image parts are elite willy-nilly rather than consecutive by using a brand new plan made public by main cases with their sub cases for each store unit in one component. this concept supports every visual and mathematics in line with the steps of fashion, we have been everywhere sixteen main cases with their sub cases that cowl all aspects of the computer file into color icon image. High-security layers are projected through 3 layers to form it arduous to interrupt through the committal to writing of the laptop file and confuse steganalysis too. These techniques are a great deal of useful for investigation the stego footage what is more as a result of the image media regarding security of images and embed the knowledge for advanced image area which we'll merely calculate approximately the high embed rate by victimization the quantitative steganalysis technique.