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The traditional intelligent device network false information behavior recognition technology has a small recognition range and low accuracy. It cannot be quickly controlled by control after identification, which leads to further deterioration of the situation. Aiming at the above problems, this paper studies a new intelligent device network false information behavior recognition and control technology, and sets up a false information model, which is composed of neural network and BP network. It is controlled by the Internet and detects trigger words, information classification and false information. The precise identification work is completed. The control model is composed of a demonstration platform and a network center, and can provide different control means for different types of false information. Experimental research with traditional techniques shows that the intelligent information network false information behavior recognition technology can complete a wider range of recognition and improve the recognition accuracy. After the identification, the corresponding control technology will quickly take effective measures to control the false information. spread.