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Abstract-with the rapid advance in digital network, information technology, digital libraries, and particularly World Wide Web services, many kinds of information could be retrieved any time. Thus, the security issue has become one of the most significant problems for distributing new information. It is necessary to protect this information while passing over insecure channels. Steganography introduces a strongly approach to hide the secret data in an appropriate media carriers such as images, audio files, text files, and video files. In this paper, a new image steganography method based on spatial domain is proposed. According to the proposed method, the secret message is embedded randomly in the pixel location of the cover image using Pseudo Random Number Generator (PRNG) of each pixel value of the cover image instead of embedding sequentially in the pixels of the cover image. This randomization is expected to increase the security of the system. The proposed method works with two layers (Blue and Green), as (2-1-2) layer, and the byte of the message will be embedded in three pixels only in this form (3-2-3). From the experimental results, it has found that the proposed method achieves a very high Maximum Hiding Capacity (MHC), and higher visual quality as indicated by the Peak Signal-to-Noise Ratio (PSNR).

The educational database holds on the massive amount of data and it is increasing rapidly. Data mining provides effective techniques for discovering useful knowledge and pattern from students' data. The discovered patterns can be used to understand many problems in the educational field. This paper proposes a framework to predict the achievement of first-year bachelor's students in computer science course. Decision Tree, Naïve Bayes, and Multi-Layer Perceptron classification methods are applied to the students' data using the WEKA Data Mining tool to produce the best prediction model of the students' academic performance. Experiments conducted to detect the best model among the used techniques then the models' accuracy is computed. The extracted knowledge from the prediction model will be utilized to recognize and profile the student to decide the students' level of success in the first semester.

Steganography is a branch of information hiding. It allows the people to communicate secretly. Steganography word is classified into two parts: Steganos which means "secret or covered" (where you want to hide the secret messages) and the graphien which means "writing". It aims to embed secret data into a digital cover media, such as digital audio, image, video, etc., without being suspicious looking. In This paper a new image steganography method that hides the secret message inside the cover image using zero order hold (ZOH) is considered. The main goal of this method is to hide a secret message in the pixels of the cover image in such a way that the human eyes are not able to differentiate between the original and the stego-image.

Steganography is the art and science of writing hidden messages in such a way that no one suspects the existence of the message, a form of security through obscurity. Many different carrier file formats can be used, but digital images are the most popular because of their frequency on the internet. In this paper explains the PIGPEN image steganography technique which modifies the secret message itself not the technique of embedding. This technique represents the secret message characters by two decimal digits only not three decimal digits as ASCII encoding. So, it can save one third of the required space for embedding the message in an image. The PIGPEN technique will be enhanced by using the zigzag scanning to increase the security and achieves higher visual quality as indicated by the high peak signal-to-noise ratio (PSNR) in spite of hiding a large number of secret bits in the image.