Design and Implementation of Telemedicine Client-Server Model using Encryption and Decryption Algorithm in Single Core and Multicore Architecture on LINUX Platform: Telemedicine Client-Server Model - Tapa blanda

Sinopsis

Project Report from the year 2011 in the subject Computer Science - Applied, Coventry University (M.S. Ramaiah School of Advanced Studies), course: M. Sc. [Engg] in Real Time Embedded Systems, language: English, abstract: Multimedia applications have an increasing importance in many areas. There is a growing need to store and transmit high quality video for applications where common coding schemes do not yield enough quality. An example of this is Telemedicine system is best example of Applied Medical Informatics. Several physiologic data, Digital images and video can be transmitted more rapidly and easily than conventional images and videos. In telemedicine expert physicians in tertiary care centres can view a digital image, videos and advice local physicians on the best plan of care without having to move the patient many miles away. Telemedicine will be implemented using the TCP client-server model. The clientserver model was originally developed to allow more users to share access to database applications. The data must be secure, when the data is transmitted from server to client, security must ensure that data will not be damaged by attackers and protects against danger, loss, and criminals. Even if someone tries to hack the data content of file should not be revealed to the attacker. So it is necessary to encrypt the data before transmitting the file using encryption methods. The encryption method used in server and client model is XOR or AES (advanced encryption standard) or Rijndael algorithm which is used to encrypt and decrypt the x-ray images of patients, drug prescriptions. The Rijndael algorithm allows encrypt video at high quality while achieving great encryption. This property makes the Rijndael algorithm a good option for building a video encryption able to obtain better performance than other more general purpose algorithms such as XOR or AES algorithm. One of the main problems when working with the video sequence is the huge datasets that have to

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