Extended Statistical Analysis on Multimedia Concealed Data Detections

Received: 4 January 2019 Accepted: 10 March 2019 Nowadays, providing privacy and protection to illicit materials like videos and web pages became a major issue to the law enforcement authorities. Multimedia information transactions over external network became a threat as those files consist of stego-payload. Current new era is, cyber wars, also playing a vital role along with the physical wars in the world. Along with the people, Government organizations also want to maintain data secrecy in certain sensitive communication areas like Department of Military, Department of Air force, and other defense related areas to protect the data against opponent parties. One of the technique to protect the information steganograpgy. The art of hiding the data into the multimedia files as carriers referred as steganography. In order to this, identifying messages by steganography referred as steganalysis. These techniques can possible to use by unauthorized persons along with the authorized persons or organizations. Hence design and development of an application whether the selected multimedia holds any payload or not is highly recommended, in this new era. This paper work shows the functioning of various methods to predict the hidden data in the multimedia files. Performance analysis of the steganalysis methods by considering different key parameters is the main strength of this work.