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Hash-chain Compressive Sensing for Secure and Efficient Transmission in Wireless Sensor Networks
Liu Liwei,Peng Haipeng,Li Lixiang *,Yang Yixian
Information Security Center, State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876
*Correspondence author
#Submitted by
Funding: National Natural Science Foundation of China Foundation(No.61771071, 61573067), National Key R&D Program of China Foundation(No.2016YFB0800602)
Opened online:18 January 2019
Accepted by: none
Citation: Liu Liwei,Peng Haipeng,Li Lixiang.Hash-chain Compressive Sensing for Secure and Efficient Transmission in Wireless Sensor Networks[OL]. [18 January 2019] http://en.paper.edu.cn/en_releasepaper/content/4747004
With the rapid development of the applications of wireless sensor networks (WSNs) in various fields, such as internet of things, military collaborative operations, e-government, telemedicine, etc., the security, the energy-efficiency and the storage-saving are undoubtedly highlighted in the research of WSNs. Compressive sensing (CS) can compress and reconstruct sparse or compressible signals with fewer samples than those of Nyquist-Shannon theorem requires. In order to meet the requirements of storage, energy-efficiency and security of WSNs simultaneously, we propose an efficient and secure transmission model based on compressive sensing and hash-chain theory, which is called hash-chain compressive sensing (HCCS). Compared with the traditional compressive sensing, only the initial key and the hash function are used in the sensor node to decrease the storage space. And the characteristics of hash-chain assure the security of data transmission under HCCS. Furthermore, we propose an image encryption method based on HCCS in order to improve the efficiency and security of image transmission. The security of image signal is greatly improved by adopting the double-encryption mechanism, which uses the measurement matrix $\Phi _1$ and the encryption matrix $\Phi _2$. The numerical experiments are performed to show the feasibility of HCCS and the effectiveness of the proposed image transmission model.
Keywords:network security, WSNs, compressive sensing (CS), image encryption, energy efficiency.

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