Anomaly Detection Scheme for Medical Wireless Sensor Networks Osman Salem, Alexey Guerassimov, Ahmed Mehaoua, Anthony Marcus and Borko Furht 1 Introduction With the rise and precision of current medical procedures and the healthy lifestyles of many individuals turning towards a healthier lifestyle, the average lifetime ex- pectancy is ever increasing [1]. Doctors are able to better diagnose and treat patients while the ability of individuals to cope and recover from illnesses is staggering. Technological advances incorporated with vast and accurate knowledge of the hu- man anatomy have allowed healthcare professionals the ability to handle almost any scenario they encounter in individuals at hospitals and emergency treatment facil- ities [1, 2]. As the average individual lifetime expectancy has increased, this has also directly impacted our planets population and as such, a shortage of qualified healthcare professionals to treat the sick and needy has become an issue. Scientists and researchers have developed numerous solutions to this problem, one of which allows patients to be remotely monitored utilizing networks of wire- less sensors which relay, in real time, patient information to doctors and healthcare providers. Advances in sensor technologies and high throughput networks continue to refine the accuracy and increase the integrity and public trust of these systems. As a direct result, more individuals elect to utilize these systems as they allow greater freedom and mobility while maintaining the quality of care equivalent to direct med- O. Salem, A. Guerassimov and A. Mehaoua University of Paris Descartes – LIPADE e-mail: {firstname.lastname}@parisdescartes.fr A. Mehaoua Division of IT Convergence Engineering, POSTECH, Korea e-mail: ahmed@postech.ac.kr Centre National de la Recherche Scientifique (CNRS), LaBRI, Bordeaux, France e-mail: ahmed.mehaoua@labri.fr A. Marcus and B. Furht Florida Atlantic University – Department of Computer Science e-mail: {amarcu10,bfurht}@fau.edu 1