Data Aggregation Mechanism For Distributed In Wireless Sensor Network

Abstract: This paper proposes an efficient protocol to obtain the Sum aggregate, which employs an additive homomorphic encryption and a novel key management technique to support large plaintext space. The paper also extends the sum aggregation protocol to obtain the Min aggregate of time-series data. It shows that the proposed protocols are faster than existing solutions, and it has much lower communication overhead. In addition, the paper proposes a new concealed data aggregation scheme which is homomorphic public encryption system based. The proposed scheme has three contributions. First, it is designed for a multi-application environment. The base station extracts application-specific data from aggregated ciphertexts. Next, it mitigates the impact of compromising attacks in single application environments. Finally, it degrades the damage from unauthorized aggregations. In addition, Database as a Service model is proposed in which, a client stores her database on an untrusted service provider. Therefore, the client has to secure their database through Privacy Homomorphism (PH) schemes because PH schemes keep utilizable properties than standard ciphers. Based on PH schemes, the provider can conduct aggregation queries and retrieve results.

Keywords: Data Aggregation, Centralized Approach, In-Network Aggregation, Tree Based Approach, Cluster- Based Approach