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Aiming at the problems of large storage error and low determination coefficient in traditional information storage model, a network privacy information storage model based on holographic digital watermarking technology is proposed. By identifying the network privacy information, the least square method is used to filter the non significant information of network privacy information, and the fuzzy adaptive equalization storage method is used to compensate the error of symbol output To the steady-state characteristic solution of network privacy information, the holographic digital watermarking technology is introduced to construct the network privacy information storage model. The experimental results show that the improved model can effectively reduce the root mean square error, improve the decision coefficient of information storage, and increase the effect of storage.

Aiming at the problems of low accuracy and long time consuming in traditional block based secure storage method, a block based secure storage method of network information resources based on data sensitivity analysis is proposed. Relying on the big data network environment, the required storage network information resources are classified according to their storage capacity and computing capacity, and the block processing is realized according to the classification results combined with resource sensitivity; the block security storage model of network information resources is constructed through deviation compensation. The results show that the block storage method of network information resources based on data sensitivity analysis meets the design requirements, and it is safe, efficient and implementable.