CAJ | 학술논문

提出了一种无线传感器网络中，在压缩感知域内对敏感数据进行嵌入及提取的安全传输框架。在该框架中，传感器节点利用压缩感知技术对敏感数据进行编码，在基站端利用基于贝叶斯的压缩感知重构算法进行敏感数据的恢复。充分利用压缩感知技术特点，编码的复杂性转移到基站，而传感器节点仅需执行简单的线性运算，从而在实现敏感信息安全传输的同时减少了能量消耗。仿真结果表明，该算法能够在无线传感器网络中实现敏感数据的安全传输，并且具有抗噪性强的特点。
제출료일충무선전감기망락중，재압축감지역내대민감수거진행감입급제취적안전전수광가。재해광가중，전감기절점이용압축감지기술대민감수거진행편마，재기참단이용기우패협사적압축감지중구산법진행민감수거적회복。충분이용압축감지기술특점，편마적복잡성전이도기참，이전감기절점부수집행간단적선성운산，종이재실현민감신식안전전수적동시감소료능량소모。방진결과표명，해산법능구재무선전감기망락중실현민감수거적안전전수，병차구유항조성강적특점。
This paper proposes a novel embedding and secure transmission framework of sensitive data based on compressive sensing domain in wireless sensor networks. In this framework, sensor nodes encode sensitive data using compressive sensing technology, and base stations decode the sensitive data using Bayes compressive sensing reconstruction algorithm. In this method, the algorithm complexity is transferred to the base station, while sensor nodes only need to do simple linear operations which highly reduce the energy consumption. The simulation result indicates that this method can realize secure transmission of data in WSN even under noise environment.