Biomedical Research

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An intelligent fuzzy beta reputation model for securing information in P2P health care applications

Medical is an important emerging field today in this polluted environment. Health care applications are most useful for the society in the fast world. Health care applications are launched and providing services through all kind of networks such as wireless networks, ad-hoc networks and peer-to-peer networks. Health care applications contain all kinds of secret information about the diseases, patient details and the physician recommendation for the particular patient. In this scenario, security is very important for all kinds of networks to secure the secret information which are shared through the health care applications. For providing security to the emerging applications such as medical, we propose a new secure routing protocol called Intelligent Fuzzy Beta Reputation Model based Ad-hoc On-demand Distance Vector (IFBR-AODV) routing protocol for effective communications in networks. Here, we have used intelligent agents and fuzzy rules for making effective decisions on users during monitoring process in networks. Every health care application users (nodes) and their activities are monitored by the administrator (cluster heads).

Author(s): Mary Subaja Christo, Meenakshi S, Subhashini R