PROJECT TITLE :
Privacy Protection for Wireless Medical Sensor Data - 2016
In recent years, wireless sensor networks are widely employed in healthcare applications, like hospital and residential patient monitoring. Wireless medical sensor networks are a lot of susceptible to eavesdropping, modification, impersonation and replaying attacks than the wired networks. A heap of labor has been done to secure wireless medical sensor networks. The prevailing solutions will shield the patient data throughout transmission, however cannot stop the within attack where the administrator of the patient database reveals the sensitive patient knowledge. During this paper, we tend to propose a practical approach to stop the within attack by using multiple information servers to store patient data. The most contribution of this paper is securely distributing the patient data in multiple information servers and employing the Paillier and ElGamal cryptosystems to perform statistic analysis on the patient data while not compromising the patients' privacy.
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