Using different techniques of steganography deducting null cipher in plain text. (2015)

• Record Type: Journal Article
• Authors: Ditta, Allah; Yongquan, Cai; Rana, Khurram Gulzar; Shanshan, Kong; Azeem, Muhammad; Jean, Tahadray
• Is Part Of: International journal of wireless and mobile computing. Volume 9:Number 4(2015)
• Page Start: 317
• Page End: 324
• Publication Date: 2015
• Subjects: null cipher steganography -- steg-text -- steganalysis -- probability -- advance analysis -- plain text -- meaningful words -- average word length -- threshhold value -- risk factor -- security; Mobile computing -- Periodicals; Wireless communication systems -- Periodicals; 004.6
• Languages: English
• ISSNs: 1741-1084

Abstract

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.