Blind Steganalysis : To Analyse the Detection Rate of Stego Images using Different Steganalytic Techniques with Support Vector Machine Classifier

Steganography is the art of hiding the secret message in a cover medium and the media could be a audio or video or image. Steganography aims at hiding data as stealthy as possible in a cover medium, Steganalysis aims to detect the presence of any hidden information in the stego media here it refers to the JPEG images. Current Steganalysis aims to focus more on detecting statistical anomalies in the stego images which are based on the features extracted from typical cover images without any modifications. Most steganalysis algorithms are based on exploiting the strong interpixel dependencies which are typical of natural images. Steganalysis can be classified into two broad categories: Specific/Targeted and Blind Steganalysis. Blind steganalysis also known as universal steganalysis. Steganalysis is the modern and powerful