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Wireless Body Sensor Networks are used for pervasive health monitoring and often composed of a large number of sensors communicating over wireless connections. The wireless nature of WBSN poses challenges in terms of security and reliability since sensory data are vulnerable to interception, intrusion and modifications. Moreover, there are ergonomic limitations such as size and weight on wearable sensors that restrict their computational power. In this paper, we propose a variation of the Wongdoi:10.4108/icst.pervasivehealth.2014.254931 dblp:conf/ph/PanahS14 fatcat:roeit6dnmvcx5il3pckpxersfu