Text Data Security Through Hybrid Method Using Visual Cryptography and Image Steganography Algorithms
摘要
Modern society puts a great deal of importance on digital communication, thus keeping it hidden is crucial. Many modern softwares are web-based, and users increasingly rely on social networking sites like Facebook, Twitter, and others. The data must be secured against unauthorized access and usage since it is distributed over unsecured channels. Since the information is sent across unsecured channels, it is crucial to prevent unauthorized access to and use of the data. Although there has been a significant amount of research done in the past, most of it has not taken into account the need for strong hybrid security concerning secret text. The two techniques most commonly used to prevent unwanted access to sensitive text data are visual cryptography and image steganography. These two techniques’ unique merits, nevertheless, are not secure enough for the contemporary era. There may be some vulnerability as a result. If visual cryptography is combined with image steganography, it is feasible to use both algorithms together to obtain high levels of information security. This study presented a hybrid security method for hiding secret text that combines visual cryptography and LSB image steganography. Colour image steganography is used to hide shares in other cover images and cover up secret text in cover images. For splitting the cover image into two shares, use visual cryptography. The secrecy, trustworthiness, and effectiveness of covert communications are considerably improved by these security protocols. Even though there isn’t a parameter to represent the level of security reached by employing cutting-edge technologies, the accuracy of the received text data is calculated in terms of MSE and correlation coefficient by comparing the transmitted and received text data. The time required at the transmitter and receiver ends is also assessed in order to gauge how effective the recommended methodology is. The implementation demonstrates the enhanced resilience of the suggested strategy while accounting for steganalysis using the MATLAB environment.