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Steganography is the science of hidden data in the cover image without any updating of the cover image. The recent research of the steganography is significantly used to hide large amount of information within an image and/or audio files. This paper proposed a new novel approach for hiding the data of secret image using Discrete Cosine Transform (DCT) features based on linear Support Vector Machine (SVM) classifier. The DCT features are used to decrease the image redundant information. Moreover, DCT is used to embed the secrete message based on the least significant bits of the RGB. Each bit in the cover image is changed only to the extent that is not seen by the eyes of human. The SVM used as a classifier to speed up the hiding process via the DCT features. The proposed method is implemented and the resultsshow significant improvements. In addition, the performance analysis is calculated based on the parameters MSE, PSNR, NC, processing time, capacity, and robustness.

Software requirements with its functional and non-functional methods are the first important phase in producing a software system with free errors. The functional requirements are the visual actions that may easily evaluated from the developer and from the user, but non-functional requirements are not visual and need a lot of efforts to be evaluated. One of the main important non-functional requirements is security, which focuses on generating secure systems from strangers. Evaluating the security of the system in earlier steps will help to reduce the efforts of reveals critical system threats. Security threats found because of leaking of security scenarios in requirement phase. In this paper, we purpose an intelligent model to extract and evaluate security features from scenarios based on set of security system goals and a set of security requirements saved on rich story scenarios dataset (RSSD). This model will used a support vector machine (SVM) classifier to classify the security requirement based on RSS dataset.  The using of SVM will enhance the overall process of evaluating the security requirements. The results show a significant enhancement in security improvements.

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