Protection Techniques for Transformed Eeg Signals

In recent developments network security and data encryption have become vital and high profile issues. New approaches in encryption techniques are required to be developed for effective data encryption and multimedia applications. For future internet applications on wireless networks, besides source coding and channel coding techniques, cryptographic coding techniques for multimedia applications need to be developed. Telemedicine changes the way patients are treated, from the traditional methods of a person care to remote care; The concept of Telemedicine is totally depending on the wireless network. i.e. Internet which is public network anyone can access the confidential medical data or modify it and use it for their personal use so to avoid these situation, a concept of Cryptography to provide the security against unauthorized use of medical data. Telemedicine may also improve healthcare access to areas where it was essentially not available in the past. Telemedicine is a confluence of Communication Technology, Information Technology, Biomedical Engineering and Medical Science. Telemedicine is an effective solution for providing healthcare in the form of improved access and reduced cost to the rural patients. Telemedicine can enable ordinary doctors to perform extra-ordinary tasks. Telemedicine allows for a virtual communication, using real–time audiovisual information transmitted over, between a patient and a physician at two different sites. Use of this technology has the potential to reduce the cost of providing healthcare. To provide the privacy or security to the information the various encryption techniques have been developed. In this paper the two encryption techniques LFSR based and chaos-based security technique for transformed EEG signals are discussed. Our techniques provide all QOS features like key sensitivity, encryption decryption time, network latency etc. those are essential for the quality of medical data in telemedicine system.