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Modern microprocessors are loaded with a lot of performance optimization features. Single Instruction Multiple Data (SIMD) instruction set feature specially designed for improving the performance of multimedia applications is one among them. But most of the encryption algorithms do not use these features to its fullest. This paper discusses various optimization principles to be followed by encryption algorithm designers to exploit the features of underlying processor to the maximum. It also analyses the performance of four eSTREAM finalist stream ciphers – HC-128, Rabbit, Salsa 20/12 and Sosemanuk – under various methods of implementation. Scope of implementing these stream ciphers using SIMD instructions is examined and improvement in performance achieved by this implementation has been measured. Modifications in the algorithm which provide further improvement in performance of these ciphers are also studied

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Thermography in breast cancer detection presents promising diagnosis when used as a first line screening tool in adjunct to mammography. A thermogram consists of various regions such as patient's arms, chest and breasts. Segmentation of the breast region is an important step in classification of normal and abnormal thermogram. This paper deals with image pre-processing using inpaint algorithm and automated segmentation of breast regions using anisotropic diffusion filter along with level-set evolution without reinitialization. Three types of breast thermograms which include one normal and two abnormal were considered for this study. The segmented results were tested using performance measures and 98% of accuracy is obtained.