Encoding a message in plain text is an ancient art. Using null cipher NC is a great challenge because it requires extensive human efforts and intelligence. In this study, we propose a mechanism which can detect the existence of NC steganography in text without human involvement. We propose a statistical approach based on finding the probability of a ST to generate meaningful words and average word length. A threshhold value THV is defined to distinguish the normal data from unusual statistical data. On the basis of the probability and AWL each ST is assigned a risk factor value. Texts exceeding THV will be marked as infected and the remaining as clean text.
['Allah Ditta', 'Cai Yongquan', 'Khurram Gulzar Rana', 'Kong Shanshan', 'Muhammad Azeem', 'Tahadray Jean']
Using different techniques of steganography deducting null cipher in plain text