CDAMA: CONCEALED DATA AGGREGATION SCHEME FOR MULTIPLE APPLICATIONS IN WIRELESS SENSOR NETWORKS

Generally, Data Mining is the process of analysing data from different perspectives and summarizing the information. Wireless sensor networks consist of thousands of sensor nodes that gather data from deployed environments. Efficient data aggregation scheme with security is needed to provide security in the wireless sensor networks as they may suffer unauthorized aggregation attacks. In previous homomorphic encryptions have been applied to conceal communication during aggregation such that enciphered data can be aggregated algebraically without decryption. It reduces a large amount of transmission and it is the most practical technique. Although data aggregation could significantly reduce transmission, it is vulnerable to some attacks. The objective of the proposed system is to design a scheme to detect these attacks or mitigate their impact. It can change the path in the intermediate level. So this will not get any aggregation problem and packet delivery issue.