Substitution-based approach for linguistic steganography using antonym

Steganography has been a part of information technology security since a long time ago. The study of steganography is getting attention from researchers because it helps to strengthen the security in protecting content message during this era of Information Technology. In this study, the use of substitution-based approach for linguistic steganography using antonym is proposed where it is expected to be an alternative to the existing substitution approach that using synonym. This approach still hides the message as existing approach but its will change the semantic of the stego text from cover text. A tool has been developed to test the proposed approach and it has been verified and validated. This proposed approach has been verified based on its character length stego text towards the cover text, bit size types of the secret text towards the stego text and bit size types of the cover text towards the stego text. It has also been validated using four parameters, which are precision, recall, f-measure, and accuracy. All the results showed that the proposed approach was very effective and comparable to the existing synonym-based substitution approach

LSB Algorithm based on Support Vector Machine in Digital Image Steganography

The importance of information security in protecting data and information has increased due to the increased use of computers and the Internet. It similar with the one of exciting subfields of information security called information hiding. Information hiding is a technology where the secret-messages are hidden inside other files (e.g image files). One of the areas that are popular now applying this technology is digital image steganography (image steganography). In this paper proposed StegaSVM-Shifted LSB model that has been proposed that utilize HVS and embedding technique through Shifted LSB showed a good performance. This can be seen when PSNR record high value, where it displays a good quality cover-image

LSB algorithm based on support vector machine in digital image steganography

The importance of information security in protecting data and information has increased due to the increased use of computers and the Internet. It similar with the one of exciting subfields of information security called information hiding. Information hiding is a technology where the secret-messages are hidden inside other files (e.g image files). One of the areas that are popular now applying this technology is digital image steganography (image steganography). In this paper proposed StegaSVM-Shifted LSB model that has been proposed that utilize HVS and embedding technique through Shifted LSB showed a good performance. This can be seen when PSNR record high value, where it displays a good quality cover-image

An antonym substitution-based model on linguistic steganography method

This paper implement the antonym procedure in substitution-based approach for linguistic steganography that is expected to be an alternative to the existing substitution approach that using synonym. This method is hidden the message as existing approach, however that is changing the semantic of the stego text from cover text as the medium. This paper proposed the development method is named Antonym Substitution-based that applied based on implementation linguistic steganography in covering the secret message. This approach refines the word choices makes antonym substitution-based approach linguistically is comparable with the previous effort of synonym substitution. Furthermore, this paper also used the verification and validation approaches as the procedure to evaluate performance of this method. The evaluation through verification approach used in order to determine the effectiveness and quality performance. This proposed method is expected has become the new technique implementation of linguistic steganography in process securing secret message that hide in the text mediu