Neural Network Based Steganalysis Framework to Detect Stego-Contents in Corporate Emails

Today, email management is not only a filing and storage challenge. Because law firms and attorneys must be equipped to take control of litigation, email authenticity must be unquestionable with strong chains of custody, constant availability, and tamper-proof security. Information Security and integrity are becoming more important as we use email for personal communication and business. Email is insecure. This steganalysis framework checks the inbox content of the corporate mails by improving the S-DES algorithm with the help of neural network approach. A new filtering algorithm is also developed which will used to extract only the JPG images from the corporate emails. This frame work developed a new steganalysis algorithm based on neural network to get statistics features of images to identify the underlying hidden data. The Experimental results indicate this method is valid in steganalysis. This method will be used for Internet/network security, watermarking and so on.