Privacy Preserving Computation on Health Care Data

Abstract

Healthcare sector is one of the fastest growing sector, which is making extensive use of technologies like IoT, Blockchain etc. Since there is rise in the use of e-healthcare system, huge amount of data is being generated so it has become necessary to protect the data from various kinds of cyber-attacks. Due to different cyber-attacks the CIA (Confidentiality, integrity, Availability) of the system can be compromised hence efficient mechanisms are required to ensure security. In this paper we have demonstrated a system which examines trust evaluation algorithm against various attacks. Simulation of the sensor cloud system is done and its results are analyzed. Trusts of individual nodes were calculated and trusted path calculation for sensors is done. Proposed system detects malicious nodes in order to protect network from insider attacks viz; black hole attack, on-off attack and replicated mobile sink attack, etc.