A Distributed Secure Data Collection Scheme via Chaotic Compressed Sensing in Wireless Sensor Networks
A Distributed Secure Data Collection Scheme via Chaotic Compressed Sensing in Wireless Sensor Networks
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DOI：
10.1007/s00034-012-9516-9
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发表时间：
2013-06-01
影响因子：
2.3
通讯作者：
Wang, Desheng
中科院分区：
文献类型：
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作者：
Lu, Wei;Liu, Yingzhuang;Wang, Desheng
在混沌技术和压缩感知技术的启发下，提出了一种基于混沌压缩感知的无线传感器网络分布式安全数据采集方案。将混沌压缩感知应用于无线传感器网络中传感器节点感知数据的加密压缩和整体感知数据的采集。该方案适用于长期、大规模的无线传感器网络，具有能量效率高、网络寿命长、安全性好等特点。为保证传感器数据包的安全高效传输，提出了一种基于混沌序列的感知矩阵生成算法和主动节点矩阵算法。对该算法的密钥破解、伪造、劫持干扰和重放攻击进行了评估，证明了该方案的健壮性。仿真和实际数据实例表明，该方案可以有效地保证无线传感器网络中数据的安全获取。
Motivated by chaos technology and compressed sensing, we propose a distributed secure data collection scheme via chaotic compressed sensing in wireless sensor networks. The chaotic compressed sensing is applied to the encrypted compression of sensory data for sensor node and the data acquisition for whole sensory in wireless sensor networks. The proposed scheme is suitable for long-term and large scale wireless sensor networks with energy efficiency, network lifetime and security. A sensing matrix generation algorithm and active node matrix algorithm based on chaos sequence are proposed to ensure the secure and efficient transmission of sensor packets. The secret key crack, forgery, hijack jamming and replay attacks on the proposed algorithm are evaluated to show the robustness of this scheme. Simulations and real data examples are also given to show that the proposed scheme can ensure the secure data acquisition in wireless sensor networks efficiently.