Study On Lightweight Security Data Aggregation Schame In Wireless Networks

In the WSNs, the sensor nodes distribute densely and complete the tasks of collecting ofinformation, surveillance and perceiving environment. Due to the limited resource, the sensornode has strong restrictions in computation, storage and communication. If each nodeindividually transmits data to the sink node, there will be a lot of redundant information in thenetwork, wasting a lot of communication bandwidth and valuable energy resources and alsoreducing the efficiency of collecting information. Therefore, data aggregation technology hasbeen proposed to avoid these problems. Due to the property of openness and self-organization,the sensor network is vulnerable to be attacked by various attacks and results in more harm.Therefore, efficient and feasible secure data aggregation schemes get more and more attention.The research motivation of this paper is confidentiality data aggregation. An efficient andlow-energy data aggregation scheme and a more secure data aggregation scheme are proposed inthis paper. The first scheme adopts the divergence measure clustering and fuzzy entropy dataaggregation techniques to greatly reduce energy consumption, and extends the life of the sensornetwork. The second scheme can eliminate the redundant and ensure the confidentiality andprivacy of the data during transmission without encryption，this scheme ensures security andprivacy, redundant data will be aggregated into a packet.It gets rid of the redundant data;And it isable to resist known plaintext attack, chosen plaintext attack and the ciphertext attacks etal.