PRIVACY PROTECTION FOR CLINICAL DECISION

Computer science and engineering

In recent years, wireless detector networks are wide utilized in care applications, like hospital and residential patient observance. Wireless medical detector networks area unit a lot of at risk of eavesdropping, modification, impersonation and replaying attacks than the wired networks. heaps of labor has been done to secure wireless medical detector networks. the prevailing solutions will shield the patient knowledge throughout transmission, however cannot stop the within attack wherever the administrator of the patient info reveals the sensitive patient knowledge. during this paper, we have a tendency to propose a sensible approach to forestall the within attack by victimization multiple knowledge servers to store patient knowledge. the most contribution of this paper is firmly distributing the patient knowledge in multiple knowledge servers and using the Paillier and ElGamal cryptosystems to perform data point analysis on the patient knowledge while not compromising the patients’ privacy. Wireless medical detector networks definitely improve patient’s quality-of-care while not distressful their comfort. However, there exist several potential security threats to the patient sensitive physiological knowledge transmitted over the general public channels and hold on within the back-end systems. Typical security threats to care applications with WSNs may be summarized as follows. Eavesdropping could be a security threat to the patient knowledge privacy.

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