4. Results and Discussions The proposed method has been implemented and tested with a group of users joining and leaving dynamically. Here a master key is generated which is shared among the group of users and the servers are responsible for communicating healthcare information among the members of the group. The same key is utilized for encrypting and decrypting the messages shared among the clients in the gathering utilizing different cryptographic algorithms. Consequently, this sort of sharing guarantees an abnormal state mystery in correspondence in a multicast domain furthermore the system transmission capacity and the handling time is diminished with the assistance of load balanced servers.
• Performance Evaluation The Performance is …show more content…
shows the server split when the number of users exceeds the value of Umax. The servers are identified by their local hosts. The following table is generated by having Umax = 20 for each server. Hence, when the 21st user enters the group in a server, the user is automatically allocated to the next server. (i.e.) The users from 1 to 20 are present in the server 1 with the local host 8180 and the next incoming users are directed to the next server identified with the local host 8280. Similarly, when the users leave from the group dynamically the servers balances their load dynamically by merging with the other servers having less number of users. The Fig.3 shows the variation in time for communicating the information to various numbers of users in a secured manner. From the Table 3, it is clear that the time varies proportionally to the increase in the number of users. In this paper a Master key management algorithm is proposed and a key tree is generated by the users at the leaf nodes. The loads of the key server are balanced with split and merge server approach such that performance of key management is increased and also that the proposed multi key -server approach reduces the processing time. From the results obtained, it is clear that, when the number of users increases the processing time is reduced from seconds to