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This paper proposes an algorithm that enhances the speed of transmission and secure images that are transmitted over internet or a network. The proposed cryptosystem uses a modified k-shuffling technique to scramble pixels of images and further decomposes them using Residue Number System. Simulations are done using two moduli sets with the modified k-shuffle technique. Analyses of results showed that both simulations could secure images without any loss of information and also the time taken for a complete encryption/decryption process is dependent on the moduli set. Among the chosen moduli sets, the even moduli set optimizes and completes execution using less time as compared to the traditional moduli set. The proposed scheme also showed resistance to statistical attacks (histogram, ciphertext, correlation attacks) and a significant reduction in the size of cipher images which enhances the speed of transmission over network.

In this paper, we propose an enhanced perceptual video encryption technique to speed-up and secure cipher video transmitted across networks using Residue Number System (RNS). The technique proposes a new reverse converter with smaller dynamic range using the moduli set {2n-1, 2n, 2n+1} that is integrated into our previous work of [2]. After encryption, cipher video is encoded into three residual videos that have smaller pixel values and ideal for transmission across networks. Instead of transmitting the three (3) residual videos, the technique effectively transmits and decodes only two (2) of them back into the original video with same visual quality. Experimental results show that the technique enhances transmission speed and security of cipher video across networks.

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The inadequate number of health personnel or professionals in some parts of the world especially in developing countries exposes patients to all manner of poor health service delivery by unqualified health personnel. To mitigate this phenomenon and reduce drug abuse in some cases, an expert health diagnosis system becomes handy to assist these unfortunate patients.This research presents the design of expert medical system software used to diagnose common ailments of patients and prescribes. The software would present reliable diagnostic to improve accuracy and quality of healthcare in places where access to quality health is inadequate, inaccessible or not affordable. This system would also assist health professionals by providing them with information on diseases that they would not have suspected.The software was developed using Visual Basic 2010 at the frontend and Microsoft SQL Server 2008 at the backend. The software can be installed on personal computers by medical practitioners, medical students or individuals who want to use this software to assist in administering first aid. The software works offline (it is not web based). The software minimum requirements for installations are; memory (RAM) 512 MB and Hard disk drive 1GB.