Nowadays, Healthcare is one of the most critical issues that need efficient and effective analysis. Data mining provides many techniques and tools that help in getting a good analysis for healthcare data. Data classification is a form of data analysis for deducting models. Mining on a reduced version of data or a lower number of attributes increases the efficiency of system providing almost the same results. In this paper, a comparative study between different data reduction techniques is introduced. Such comparison is tested against classification algorithms accuracy. The results showed that fuzzy rough feature selection outperforms rough set attribute selection, gain ratio, correlation feature selection and principal components analysis.

Voice calls is a popular way of communication between persons. Making voice call is cheap, fast and simple. Because of mobile networks attack or smartphones hackers, telephone conversations are vulnerable. This paper presents an encryption scheme for Voice Calls. It helps the user to encrypt the voice call before transmitting it on the mobile network. The idea of the proposed system is to encrypt voice calls without using any secure servers or any intermediate systems between mobile phone and the GSM network. The encryption process occurs before reaching to mobile phone. To maintain intensive security, an encryption algorithm based on RSA encryption is used. Moreover, it uses a public key known by all users and a private key which is a secret and restricted key to each user.

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