Aggregation of Encrypted data in Wireless Sensor Networks for Secure Multi-Application Data

--Generally, aggregative operations are algebraic, such as the addition or multiplication of received data, or statistical operation, such as a median, a minimum, or a maximum of a data set. It reduces a large amount of transmission is the most practical technique. Although data aggregation could significantly reduce transmission, it is vulnerable to some attacks. Some of the existing schemes do not provide secure counting. Thus, they may suffer from unauthorized aggregation attacks. We propose a new concealed data aggregation scheme extended from Boneh et al.’s homomorphic public encryption system. The proposed scheme has three contributions. First, it is designed for a multi application environment. The base station extracts application-specific data from aggregated cipher-texts. Next, it mitigates the impact of compromising attacks in single application environments. Finally, it degrades the damage from unauthorized aggregations. Keywords---Concealed data aggregation, elliptic curve cryptography, wireless sensor networks