Abstract
In wireless sensor networks, i n-network data processing plays an important role to reduce the transmitting energy and data redundancy in large-scale sensor networks. However, the security of wireless sensor networks is a challenging problem with the compromised sensor nodes in the networks. This paper introduced a trusted secure in-network data processing schema to enhance the data security of wireless sensor networks. T he secure in-network processing tree is constructed firstly , then a judgment method based on trust schema was used to detect whether a sensor node has potential misbehavior. A detecting algorithm is used to searching abnormal data from the reporting reading of sensor nodes. After the detection, a new local recovery schema is proposed to reduce the possibility to become isolated nodes, which will increase the security level in data aggregation in wireless sensor networks. The performance analysis shows the efficiency of the schema.
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