The basic goal of this research study is to show a critical review of existing paper on human brain tumor classification systems above the last 10 years. Attention and study accomplishments in brain tumor classification have arisen essentially above the previous few years, particularly with the need for an assistant to the doctor to diagnose such critical non-faulty diseases has led to the building of this type of system, for instance neural networks is important compounds. Survey and evaluation become necessary, as the number of suggested techniques increases. This study present the survey focus on various researchers applied their systems using neural network, and moreover a contrast between these systems is discussed.

Network <span>security continues to be the priority of many organizations. To ensure the protection of their data, they pay great attention to Encryption systems. Moreover, because of the enormous developments in networks of connection particularly the internet which has used by several people to share a variety of data kinds. The security of data has been a significant issue. As a result, there is a significant focus in using methods of decryption and encryption. Numerous encryption techniques have become advanced to preserve data protection, chaotic encryption systems are one of these methods widely used in recent years, where several techniques were proposed to use a chaotic map for encrypt images for the reason that of their characteristics e.g., random action unpredictability and initial conditions sensitivity. In this paper, proof authentication of sent information is used chaotic encryption algorithm to provide cipher text and hidden in image then send to another user. This approach is applied in cellular operating system environment (android). Thus, the sending and receiving of text will be safe and secure. The proposed approach is tested on different types of mobile. The proposed system gives good results.</span>

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