Steganography and cryptography are very important techniques used in data security to hide and secure secret messages in transmitted data. This paper will introduce, implement and test a novel methodology which can be used as a secure and highly efficient method of data hiding and data extracting. Some efficiency parameters will be experimentally obtained and compared with other existing methods parameters to prove the efficiency of the proposed methodology.
Steganography is the art of hiding data in another covering medium. This process is very important because it is used in various applications concerned deferent life fields. In this paper we will introduce 3 methods of data steganography: LSB, LSB2 and PVD. These methods will be implemented, tested and analyzed. The obtained experimental results will be compared in order to do some judgment regarding the quality, capacity, hiding time and extracting time.
The theoretical outcomes and experimental results of new color model implemented in algorithms and software of image processing are presented in the paper. This model, as it will be shown below, may be used in modern real time video processing applications such as radar tracking and communication systems. The developed model allows carrying out the image process with the least time delays (i.e. it speeding up image processing). The proposed model can be used to solve the problem of true color object identification Experimental results show that the time spent during RGI color model conversion may approximately four times less than the time spent during other similar models. .
The desire of secrecy has led people to use data cryptography for effective and secure data transmission by applying advanced methods of cryptography. At the same time rival companies have invested a lot of resources to break into these encryptions, steal secrets and gain an upper hand. This research paper will introduce MLS_ED method of data encryption-decryption; this method will be implemented and compared with other existing standard methods of data cryptography. The aim of this research paper is to provide the users with flexible, efficient and secure method of data encryption-decryption.
Abstract:The theoretical outcomes and experimental results of applying of Artificial Neural Networks towards mortality structure examination in Russian Federation are presented in the paper. The most influencing classes of diseases are selected by sensitivity analysis. It is proved that Neural Network Models appear to be an adequate tool for mortality structure examination. Some interesting results for males and females total mortality are discussed. Proposed technology can be used for support in decision making in social sphere.
In this paper we presented a new approach to manipulate a digital signal in order to create a features array, which can be used as a signature to retrieve the signal. Each digital signal is associated with the local binary pattern (LBP) histogram; this histogram will be calculated based on LBP operator, then k-means clustering was used to generate the required features for each digital signal. The proposed method was implemented, tested and the obtained experimental results were analyzed. The results showed the flexibility and accuracy of the proposed method. Althoug different parameters of the digital signal were changed during implementation, the results obtained showed the robustness of the proposed method.
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