Research And Implementation Of Wireless Sensor Networks False Data Filtering Watermark

Wireless sensor network (Wireless Sensor Networks, WSN) is a new technology for data acquisition and processing, it is the accumulation of the network technology, MEMS technology and sensor technology, real-time detection of changes in the target area, the detection of data transmission back to the terminal for user analysis and evaluation. Caused WSN deployment environment and the characteristics of its vulnerability to various network attacks, the attacker spreading false data to the WSN network nodes to consume energy, interfere with the user’s analysis of decision-making, and how to ensure that the terminal receives data integrity, fresh, reliability is very important. Digital watermarking technology via embedded into the specific identification information in order to achieve the purpose of protecting the carrier in the carrier, with:difficult to extract, difficult to counterfeit, a small amount of calculation, resistance net lossy compression characteristics, some watermark reversible, namely:watermark extracted carrier vector lossless restored to a state before the embedded watermark, In view of the advantages of the digital watermark can be used in WSN solve data security net. Therefore, the combination of WSN networking features the WSN in false data filtering watermark technology research,Mainly involves the following tasks:(1) existing WSN false data identification and filtering mechanism by sending the data to add t MAC information, but this way will increase the consumption of network resources, therefore this paper, the structural characteristics of the WSN presents a new The watermark embedding algorithm, embedded Watermarks and cluster-head embedded second Watermarks combination alone:cluster grouping discuss first Watermarks generated by the group within a node within the cluster nodes grouped discuss; Watermarks φ a head of nodes grouped by cluster discuss generated in which the head of the nodes are grouped groups within a class node has more energy; experimental results show that:in the network by false data attack, the algorithm can be very good identify false data to be deleted, the algorithm can also be good resistance to net lossy data compression.(2) Some applications require that when the carrier embedded watermark is extracted, the carrier must be restored to its original state without loss, recoverability requirements reversible watermarking algorithm based on differential expansion WSN.(3) on the basis of the above theory, the use of simulation platform OMNeT++4.0to build a small sensor network to simulate these two WSN watermarking algorithm, and results are to achieve the desired effect.