Multimedia Forensic Detection Using Enriched Statistical Analysis
Sk. Sumaiya, Ch. Rupa · 2018
Now- a- days, Internet has been used widely, law enforcement authorities have concerns regarding the trafficking of illicit materials like web images and videos, providing privacy and confidentiality to those materials is a major concern. Image data transaction over internet has become a major threat as those images contain hidden payload. People have desire to keep certain sensitive communications secret for thousands of years. In or new age of digital media and internet communications; this need often seems even more pressing. There is a need to identify the Stego data. The art of detecting the messages using steganography referred as Steganalysis. Developing such an application that identifies whether the selected image is a Stego image or not is highly recommended which can scan, detect and notify the user about the presence of payload. This paper is to identify the Stego image, non-Stego images, Stego videos and non-Stego video that can select the hidden payload. The main strength of this work is analysis and testing the proposed approach which has used to detect the hidden payload.