Hash-chain Compressive Sensing for Secure and Efficient Transmission in Wireless Sensor Networks
首发时间:2019-01-18
Abstract: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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基于哈希链压缩感知的无线传感器网络传输模型
摘要:随着无线传感器网络在物联网,电子政务,远程医疗等各个领域应用的快速发展,网络传输的安全性、能效和存储问题日益突出。为了同时满足无线传感器网络的安全性、能效和存储需求,本文提出了一种基于压缩感知和哈希链理论的高效安全的传输模型(哈希链压缩感知)。与传统的压缩感知相比,传感器节点仅需保存初始密钥和哈希函数,极大地节约了存储空间。哈希链的特点也确保了数据传输的安全性。此外,本文同时提出了一种基于哈希链压缩感知的图像加密方案以提高图像传输的效率和安全性。实验仿真结果验证了哈希链压缩感知和图像加密方案的可行性和安全性。
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