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Data Secure Transmission Model Based on Compressed Sensing and Digital Watermarking Technology

Data Secure Transmission Model Based on Compressed Sensing and Digital Watermarking Technology
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摘要 Since the Internet of Things(IoT) secret information is easy to leak in data transfer,a data secure transmission model based on compressed sensing(CS) and digital watermarking technology is proposed here. Firstly, for node coding end, the digital watermarking technology is used to embed secret information in the conventional data carrier. Secondly, these data are reused to build the target transfer data by the CS algorithm which are called observed signals. Thirdly, these signals are transmitted to the base station through the wireless channel. After obtaining these observed signals, the decoder reconstructs the data carrier containing privacy information. Finally, the privacy information is obtained by digital watermark extraction algorithm to achieve the secret transmission of signals. By adopting the watermarking and compression sensing to hide secret information in the end of node code, the algorithm complexity and energy consumption are reduced. Meanwhile, the security of secret information is increased.The simulation results show that the method is able to accurately reconstruct the original signal and the energy consumption of the sensor node is also reduced significantly in consideration of the packet loss. Since the Internet of Things(IoT) secret information is easy to leak in data transfer,a data secure transmission model based on compressed sensing(CS) and digital watermarking technology is proposed here. Firstly, for node coding end, the digital watermarking technology is used to embed secret information in the conventional data carrier. Secondly, these data are reused to build the target transfer data by the CS algorithm which are called observed signals. Thirdly, these signals are transmitted to the base station through the wireless channel. After obtaining these observed signals, the decoder reconstructs the data carrier containing privacy information. Finally, the privacy information is obtained by digital watermark extraction algorithm to achieve the secret transmission of signals. By adopting the watermarking and compression sensing to hide secret information in the end of node code, the algorithm complexity and energy consumption are reduced. Meanwhile, the security of secret information is increased.The simulation results show that the method is able to accurately reconstruct the original signal and the energy consumption of the sensor node is also reduced significantly in consideration of the packet loss.
出处 《Wuhan University Journal of Natural Sciences》 CAS 2014年第6期505-511,共7页 武汉大学学报(自然科学英文版)
基金 Supported by the Foundation of Tianjin for Science and Technology Innovation(10FDZDGX00400,11ZCKFGX00900) Key Project of Educational Reform Foundation of Tianjin Municipal Education Commission(C03-0809)
关键词 the Internet of Things(IoT) data security com pressed sensing(CS) digital watermarking information privacy the Internet of Things(IoT) data security com pressed sensing(CS) digital watermarking information privacy
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