An Efficient Neural Network Based Algorithm for Detecting Steganography Content in Corporate Mails: a Web Based Steganalysis
نویسندگان
چکیده
Steganography refers to information or file that has been concealed inside a digital media. Steganalysis is used to detect and/or estimate potentially hidden information from observed data with a little or no knowledge about the steganography algorithm and its parameters. Current trend in steganalysis seems to suggest two extreme approaches (a) little or no statistical assumption about the image under investigation. Statistics are learnt using a large database of training image and (b) a parametric model is assumed for the image and its statistics are computed for steganalysis detection. This research developed a new hybrid approach which comprises of neural network and S-DES encryption scheme which is used to detect the stego content in corporate mails. In this research work we implemented the combination of Compression, Encryption, Steganography to enhance the security of the data sent and Steganalysis methods which will detect the stego content in corporate emails. This method will be used to enhance the security measures of corporate mails.
منابع مشابه
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 ...
متن کاملDetection of perturbed quantization (PQ) steganography based on empirical matrix
Perturbed Quantization (PQ) steganography scheme is almost undetectable with the current steganalysis methods. We present a new steganalysis method for detection of this data hiding algorithm. We show that the PQ method distorts the dependencies of DCT coefficient values; especially changes much lower than significant bit planes. For steganalysis of PQ, we propose features extraction from the e...
متن کاملSteganalysis of embedding in difference of image pixel pairs by neural network
In this paper a steganalysis method is proposed for pixel value differencing method. This steganographic method, which has been immune against conventional attacks, performs the embedding in the difference of the values of pixel pairs. Therefore, the histogram of the differences of an embedded image is di_erent as compared with a cover image. A number of characteristics are identified in the di...
متن کاملProviding a Model for Detecting Tax Fraud Based on the Personality Types of Corporate Financial Managers using the Neural Network Approach
One of the management measures to reduce tax liabilities is non-payment of taxes through tax fraud. Because personality factors may play a role in explaining tax ethics, examining personality traits and aspects of tax fraud can help to better understand the factors that influence tax decisions. The main purpose of this study is to provide a model for detecting tax fraud based on the personality...
متن کاملA New Hybrid model of Multi-layer Perceptron Artificial Neural Network and Genetic Algorithms in Web Design Management Based on CMS
The size and complexity of websites have grown significantly during recent years. In line with this growth, the need to maintain most of the resources has been intensified. Content Management Systems (CMSs) are software that was presented in accordance with increased demands of users. With the advent of Content Management Systems, factors such as: domains, predesigned module’s development, grap...
متن کامل