Determinant and sparsity constraint of non-negative matrix factorization (DSNMF) data integrity authentication watermark method of wireless body area network

Abstract

The invention discloses a determinant and sparsity constraint of non-negative matrix factorization (DSNMF) data integrity authentication watermark method of wireless body area network. The DSNMF data integrity authentication watermark method of wireless body area network mainly aims at solving the problem that institute of electrical and electronic engineers (IEEE) 802.15.6.integrity authentication needs to additionally add message authentication codes. The DSNMF data integrity authentication watermark method of wireless body area network comprises two steps: watermark embedment at a sending end and watermark extraction at a receiving end. In the sending end, data feature vector is acquired by DSNMP decomposing processed integer plane matrix of sample data and watermark is generated. Encryption watermark is embedded in the data in parallel, and the sample data are acquired by reconstructing the data. In the receiving end, reference watermark is acquired using the same method with the sending end, the encryption watermark is extracted and deciphered to acquire extracted watermark, the reference watermark and the extracted watermark are compared, and integrity authentication of the data is realized. The DSNMF data integrity authentication watermark method of wireless body area network is capable of saving communication cost required in transmitting 32-bit authentication codes, and reducing energy consumption.

Description

technical field [0001] The invention belongs to the technical field of information processing, and further relates to a data stream non-negative matrix factorization (Data Stream Nonnegative Matrix Factorization, DSNMF) data integrity authentication watermarking method of a wireless body area network in the technical field of information security. The present invention combines the data stream non-negative matrix decomposition DSNMF algorithm and the fragile watermark, uses the data stream non-negative matrix decomposition DSNMF algorithm to obtain the data feature vector that uniquely marks the characteristics of the sample data, intercepts the integer part of each element in it, and converts it into a binary number Construct a watermark, encrypt the watermark and embed it in the data to be authenticated to realize data integrity authentication. The invention can be used in the wireless body area network to detect whether the sampling data of the sensor is tampered, so as to ...

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Problems solved by technology

However, it still has the disadvantage that it needs to transmit MAC additionally, which increases the communication overhead and increases the energy consumption in the wireless network.

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